Data Science Jobs in Bangalore (Bengaluru)

Explore top Data Science Job opportunities in Bangalore (Bengaluru) from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
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DP
Posted by Suchandni Verma
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Hyderabad, Bengaluru (Bangalore)
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2 - 5 yrs
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₹8L - ₹25L / yr
Data Science
Data Structures
Data processing
Data mining
Predictive modelling
+1 more

Job brief

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for programming, analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.


What we offer


  • A highly visible role which offers you the opportunity to make your mark, create impact and grow rapidly. 
  • Opportunity to work directly with the product leadership team that is involved in a wide spectrum of company building activities. 
  • A challenging environment with a scope to perfect your craft and learn a few life lessons along the way. 
  • A good medical insurance plan and employee friendly policies. 

What You Will Work On


  • Research & Develop statistical learning models for Data Analysis 
  • Clean, prepare and optimize data at scale for ingestion and consumption
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models and analysis 
  • Anticipate, identify and solve issues concerning data management to improve data quality
  • Design and implement product features in collaboration with business , Product and Technology stakeholders. Keep up to date with the latest technology trends .

Your Experience

  • Great numerical and analytical skills
  • Previous experience as a data scientist or in a similar role
  • Technical expertise with data processing, database programming, data mining, and data analytics
  • Good background in data mining and statistical analysis
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and prediction modeling skills
  • Knowledge of programming languages such as Java/Python.
  • Bachelor's or Master’s Degree in Computer Science or Related fields is a PLUS.
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DP
Posted by Samkit Kundalia
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Bengaluru (Bangalore)
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0 - 2 yrs
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₹15L - ₹45L / yr
Python
SQL
Data Science
Data Analytics
Databases
+3 more

About the Startup!

BharatX is a startup trying to change how the 250 million Indian Middle-Class Indians get access to credit. We give Credit via other consumer-facing apps and platforms as-a-Feature to their customers via a simple integration of our APIs in a Plug-and-Play manner. Our offerings enable journeys like Postpaid on Uber/Ola, Pay after Trial on Lenskart/Meesho, Pay in 3 on Flipkart/BoAt, Credit-Line on PhonePe/Gpay in a white-labelled and embedded manner!

Who We Are:

A team of young, ambitious, and bold people love to dedicate their life’s work towards something meaningful for India & the world. We love to have a shit ton of fun and cut the bullshit corporate culture! We are not colleagues, we are a family, in it for the long run! 

Folks who believe in us:

We have been fortunate to have a lot of Global VCs, Founders, Clients, Angels and Industry veterans back us in our journey. We also have a lot of mentors in the Industry Globally who work with us day in, day out on building BharatX. Some of our Investors Include:

Global VCs


  • Y Combinator (Batch of W22) (25+ Unicorns)
  • Soma Capital (20+ Unicorns)
  • 8i Ventures (Slice & M2P seed investors)
  • WorldQuant (Global Hedge Fund) & it’s Executives
  • Multiply Ventures (Ex-Paytm President’s Fund)
  • Java Capital 
  • Letsventure & more…

Angels


  • Harshil Mathur and Shashank - Founders @ Razorpay
  • Kunal Shah - Founder @ CRED
  • Arash Ferdowsi - Co-Founder @ Dropbox
  • Vikas Chowdhury - President @ Reliance Jio
  • Ankur Aggarwal - Co-Founder @ Dunzo
  • Sajid Rahman - Board member - South Bangla Bank
  • Faiz Mayalakkara - Director of Investments @ UAE’s Sovereign Wealth Fund & more…. 

A special shout out to some of the clients of BharatX who have also chosen to back us, their vote of confidence in our product and vision is the most valuable to us.

What you will impact:

Data is the backbone of everything we do at BharatX. And you will be leading that. Your role would majorly revolve around gathering insights from the data points that various systems at BharatX generate. 

Data points that you could handle can include:

  • Device metrics of different cohorts of users
  • User behavioural data 
  • User interaction data (events triggered based how user interacts with various interfaces)
  • Many more

 

And of course you are welcome to introduce more data sources that we might have overlooked.

What you will learn:

How to get stuff done! You will solve real-world challenges that no experience or training can help you. Only your grit and passion for solving the problem will help you figure out how to deal with them. You will learn to think from a technical as well as product point of view. 

Key Responsibilities:

  • Providing insights to optimise existing processes or design new ones
  • Providing insights to gauge performance of various products
  • Drafting policies or algorithms that can add on to our underwriting stack

 

What we look for:

We need people who are quick learners and bold enough to suggest crazy ideas. From a technical front, we need people who have:

  • Demonstrable experience with SQL, python/R
  • Good knowledge of analytical concepts
  • Ability to interact with all stakeholders and understand business requirements.
  • Startup work experience (preferred).


We also encourage you to apply even if you took a break from professional life for whatever reasons. For us, the people and their skills matter more than their resumes.

What you get:

We don’t seek employees, we seek friends. If you are looking for an environment where smart people work around you who help you achieve your goals without any corporate bureaucracy, encourage you to make mistakes and get complete ownership of your work, then this is the place for you! Here are some side perks that come with this job:

  • Be a part of our 0 to 1 ride!
  • Attractive compensation with the best-in-class ESOP Structure. You take care of doing your best work, and we will take care of making sure you never have to worry about money.
  • Insurance for your entire family.
  • Choose your own device (and keep it if you stay long enough).
  • Unlimited paid time off with no questions asked.
  • Encouragement to take time for your mental health and personal life.
  • Maternity and Paternity Leave.
  • A tight-knit and brutally honest team with no politics or hierarchy :D
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Bengaluru (Bangalore)
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3 - 6 yrs
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Best in industry
Python
PySpark
Data Science
Job ID: ZS070

Hi,

Enterprise minds is looking for Data Scientist. 

Strong in Python,Pyspark.

Prefer immediate joiners
Read more
DP
Posted by Michael Hoppitt
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Bengaluru (Bangalore)
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0 - 8 yrs
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Best in industry
Data Science
Data Analytics
Python
SQL

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe. 

We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

As the Lead Game Analyst you will own the optimisation of in-game features and design, utilising A-B testing and multivariate testing of in-game components.


What you will be doing

  • Play a crucial role in finding the best people to work on your team.

  • Manage the delivery of reports and analysis from the team.

  • Investigate how millions of players interact with Kwalee games.

  • Perform statistical analysis to quantify the relationships between game elements and player engagement.

  • Design experiments which extract the most valuable information in the shortest time.

  • Develop testing plans which reveal complex interactions between game elements. 

  • Collaborate with the design team to come up with the most effective tests.

  • Regularly communicate results with development, management and data science teams.


How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.

  • You'll think creatively and be motivated by challenges and constantly striving for the best.

  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!


Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.


Skills and Requirement

  • A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences.

  • An extensive record of outstanding contribution to data analysis projects.

  • Expert in using Python for data analysis and visualisation.

  • Experience manipulating data in SQL databases.

  • Experience managing and onboarding new team members.


We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment

  • In addition to a competitive salary we also offer private medical cover and life assurance

  • Creative Wednesdays! (Design and make your own games every Wednesday)

  • 20 days of paid holidays plus bank holidays 

  • Hybrid model available depending on the department and the role

  • Relocation support available 

  • Great work-life balance with flexible working hours

  • Quarterly team building days - work hard, play hard!

  • Monthly employee awards

  • Free snacks, fruit and drinks


Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

Read more
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Bengaluru (Bangalore)
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2 - 7 yrs
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Best in industry
Data Analytics
Data Science
Mobile App Marketing

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe. 

We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

As our Data Scientist (Game / Concept Testing), you’ll be overseeing our critical ‘game discovery’ process, ensuring that we’re using the best data-driven methods for identifying hit hyper-casual games. You’ll be working with multiple teams within the company as well as external network partners to learn how we currently test concepts, then aim to iterate on and improve these methods in step with developments in the market.

A great opportunity for those with a love for growth hacking, data-driven testing and hyper-casual.

What you tell your friends you do 

“I figure out how we find our hit hyper-casual titles!”

What you will really be doing

  • Analysing UA campaigns across a range of social channels and ad networks to assess their ability to identify profitable hyper-casual titles

  • Devising new methods and techniques for testing games

  • Running customised and experimental campaigns to test new methods and concepts

  • Working with the Head of Digital Marketing and Head of Growth to define overall strategy for Game Discovery for both our internal development team and publishing team

  • Partnering with our Data Science team to invent and prepare in-depth reporting and information sharing for game discovery tests

  • Presenting developments and findings to a multi-disciplinary group of experts across our internal teams

  • Communicating with external network partners to better understand their systems


How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.

  • You'll think creatively and be motivated by challenges and constantly striving for the best.

  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!


Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.


Skills and Requirements

  • At least 2 years of experience working within the Mobile UA / Mobile Marketing field, either within an app publisher or an ad network

  • A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences

  • Experience working across multiple teams with ability to organise and manage

  • A record of outstanding contribution to data science projects.

  • People-person with excellent communication skills

  • Passion for mobile games

  • Excellent organisation skills with strong attention to detail


We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment

  • In addition to a competitive salary we also offer private medical cover and life assurance

  • Creative Wednesdays! (Design and make your own games every Wednesday)

  • 20 days of paid holidays plus bank holidays 

  • Hybrid model available depending on the department and the role

  • Relocation support available 

  • Great work-life balance with flexible working hours

  • Quarterly team building days - work hard, play hard!

  • Monthly employee awards

  • Free snacks, fruit and drinks


Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

Read more
DP
Posted by Michael Hoppitt
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Bengaluru (Bangalore)
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2 - 7 yrs
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Best in industry
Data Analytics
Data Science
Mobile App Marketing
Digital Marketing
Gaming

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe. 

We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

As our UA Manager (Game / Concept Testing), you’ll be overseeing our critical ‘game discovery’ process, ensuring that we’re using the best data-driven methods for identifying hit hyper-casual games. You’ll be working with multiple teams within the company as well as external network partners to learn how we currently test concepts, then aim to iterate on and improve these methods in step with developments in the market.

A great opportunity for those with a love for growth hacking, data-driven testing and hyper-casual.

What you tell your friends you do 

“I figure out how we find our hit hyper-casual titles!”

What you will really be doing

  • Analysing UA campaigns across a range of social channels and ad networks to assess their ability to identify profitable hyper-casual titles

  • Devising new methods and techniques for testing games

  • Running customised and experimental campaigns to test new methods and concepts

  • Working with the Head of Digital Marketing and Head of Growth to define overall strategy for Game Discovery for both our internal development team and publishing team

  • Partnering with our Data Science team to invent and prepare in-depth reporting and information sharing for game discovery tests

  • Presenting developments and findings to a multi-disciplinary group of experts across our internal teams

  • Communicating with external network partners to better understand their systems


How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.

  • You'll think creatively and be motivated by challenges and constantly striving for the best.

  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!


Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.


Skills and Requirements

  • At least 2 years of experience working within the Mobile UA / Mobile Marketing field, either within an app publisher or an ad network

  • A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences

  • Experience working across multiple teams with ability to organise and manage

  • A record of outstanding contribution to data science projects.

  • People-person with excellent communication skills

  • Passion for mobile games

  • Excellent organisation skills with strong attention to detail


We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment

  • In addition to a competitive salary we also offer private medical cover and life assurance

  • Creative Wednesdays! (Design and make your own games every Wednesday)

  • 20 days of paid holidays plus bank holidays 

  • Hybrid model available depending on the department and the role

  • Relocation support available 

  • Great work-life balance with flexible working hours

  • Quarterly team building days - work hard, play hard!

  • Monthly employee awards

  • Free snacks, fruit and drinks


Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

Read more
DP
Posted by Michael Hoppitt
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Bengaluru (Bangalore)
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1 - 8 yrs
icon
Best in industry
Data Analytics
Data Science
SQL
NOSQL Databases
Python

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe. 

We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

As a Games Optimisation Analyst you will be responsible for optimising in-game features and design, utilising A-B testing and multivariate testing of in-game components.


What you will really be doing

  • Investigate how millions of players interact with Kwalee games.

  • Perform statistical analysis to quantify the relationships between game elements and player engagement.

  • Design experiments which extract the most valuable information in the shortest time.

  • Develop testing plans which reveal complex interactions between game elements. 

  • Collaborate with the design team to come up with the most effective tests.

  • Regularly communicate results with development, management and data science teams.


How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.

  • You'll think creatively and be motivated by challenges and constantly striving for the best.

  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!


Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.


Skills and requirements (required)

  • A degree in a numerically focussed degree discipline such as, Maths, Statistics, Physics, Economics, Chemistry, Biological Sciences, with a grade of at least 2:1/ CGPA 60% or equivalent preferred.

  • Have worked in a data analysis/science role for at least 2 years, with experience of manipulating and analysing data in a commercial or academic setting.

  • A track record of outstanding problem solving skills to understand business challenges and translate them into robust data-driven insights for decision making.

  • An excellent knowledge of statistical testing and experiment design.

  • Experience using Python or R for data analysis and visualisation.

  • Experience manipulating data in SQL and/or NoSQL databases.

  • Strong communication skills through comprehensive reporting and presenting to stakeholders.

  • Able to work independently by managing their workload accordingly, and able to work collaboratively in a team.

  • Outstanding Exploratory Data Analysis (EDA) skills and understands the importance of data quality.


Skills and requirements (desired)

  • Experience of data visualisation and dashboard development using tools such as Tableau.

  • Experience working in a fast paced environment.

  • Have played leading roles in multiple data analysis projects in the planning, implementation and dissemination of analysis.


We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment

  • In addition to a competitive salary we also offer private medical cover and life assurance

  • Creative Wednesdays!(Pitch and make your own games every Wednesday)

  • 20 days of paid holidays plus bank holidays 

  • Hybrid model available depending on the department and the role

  • Relocation support available 

  • Great work-life balance with flexible working hours

  • Quarterly team building days - work hard, play hard!

  • Monthly employee awards

  • Free snacks, fruit and drinks


Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

Read more
DP
Posted by Pravin JS
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Bengaluru (Bangalore)
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2 - 8 yrs
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₹1L - ₹20L / yr
Data Science
Machine Learning (ML)
Computer Vision
Python
recommendation algorithm
Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.

Job brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

Requirements
1. 2 to 4 years of relevant industry experience
2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning
3. Strong mathematical and statistics background is a must
4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
5. Strong industry experience in using design patterns, algorithms and data structures
6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models
7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
8. Experience in model building, hyper
Read more
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Bengaluru (Bangalore), Hyderabad, Pune, Nagpur, Mumbai
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4 - 13 yrs
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₹4L - ₹30L / yr
Data management
IBM MDM
Data-flow analysis
Material Master Data
Data Analytics
+1 more
Hi, Greetings 
We have a urgent requirement for the post  of  IBM MDM (AE) profile
Notice period - should b e 15-30 days
Read more
DP
Posted by Michael Hoppitt
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Bengaluru (Bangalore)
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7 - 15 yrs
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Best in industry
Technical director
Technical Manager
Technical Architect
Technical Lead
Project Management
+2 more

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Traffic Cop 3D and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope and Die by the Blade. 

With a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, we have a truly global team making games for a global audience. And it’s paying off: Kwalee games have been downloaded in every country on earth! If you think you’re a good fit for one of our remote vacancies, we want to hear from you wherever you are based.

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

You’ll be instrumental in helping teams and departments complete projects that have a huge impact on both internal teams, and the enjoyment of our players. 

What you tell your friends you do

“I’m the hub for all the technical projects and the person that makes things happen”

 What you will really be doing

  • Project managing key technical projects across multiple departments including server, tools and tech, and data science
  • Define technical requirements, strategies and roadmaps for projects
  • Managing technical and other resources to ensure efficient completion of projects
  • Leading and coaching teams at both a technical and personal level

How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.
  • You'll think creatively and be motivated by challenges and constantly striving for the best.
  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!

Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.

Skills and Requirements

  • Several years experience in a technical leadership / Technical Director role
  • Familiar with a wide range of technology stacks and frameworks 
  • Excellent project management skills and experience
  • People and team management skills

We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment
  • In addition to a competitive salary we also offer private medical cover and life assurance
  • Creative Wednesdays!(Design and make your own games every Wednesday)
  • 20 days of paid holidays plus bank holidays 
  • Hybrid model available depending on the department and the role
  • Relocation support available 
  • Great work-life balance with flexible working hours
  • Quarterly team building days - work hard, play hard!
  • Monthly employee awards
  • Free snacks, fruit and drinks

Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

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DP
Posted by Ruchika Prakash
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Bengaluru (Bangalore)
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1 - 3 yrs
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₹10L - ₹14L / yr
Python
Data Science

We are looking for a python developer who has a passion to drive more solar and clean energy in the world working with us. The software helps anyone understand how much solar could be put up on a rooftop and calculates how many units of clean energy the solar PV system would generate, along with how much savings the homeowner would have. This is a crucial step in helping educate people who want to go solar, but aren’t completely convinced of solar's value proposition. If you are interested in bringing the latest technologies to the fast-growing solar industry and want to help society transition to a more sustainable future, we would love to hear from you!

 

You will -

- Be an early employee at a growing startup and help shape the team culture

- Safeguard code quality on their team, reviewing others’ code with an eye to performance and maintainability

- Be trusted to take point on complex product initiatives

- Work in a ownership driven, micro-management free environment

 

You should have:

- Strong programming fundamentals. (if you don’t officially have a CS degree but know programming, it’s fine with us!)

- Have a strong problem solving attitude.

- Experience with solar or electrical modelling is a plus, although not required.

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DP
Posted by Viswanath Subramanian
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Chennai, Bengaluru (Bangalore), Mumbai
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4.5 - 6 yrs
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₹15L - ₹18L / yr
Data Science
Machine Learning (ML)
What you will be doing-
Understand business problems and translate business requirements into technical requirements.
Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
Gather requirements and communicate findings in the form of a meaningful story with the stakeholders.
Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery
adoption.
Lead and mentor data analysts.

What we are looking for-
Apart from your love for data and ability to code even while sleeping you would need the following.
Minimum of 02 years of experience in designing and delivery of data science solutions.
You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
Bachelors/Masters degree in Engineering/Technology or MBA from
Tier-1 B School or MSc. in Statistics or Mathematics.
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Global SaaS product built to help revenue teams. (TP1)

Agency job
via Multi Recruit by Kavitha S
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹30L - ₹40L / yr
Data Scientist
Data Science
Machine Learning (ML)
  • You'd have to set up your own shop, work with design customers to find generalizable use cases, and build them out.
  • Ability to collaborate with cross-functional teams to build and ship new features
  • At least 2-5 years of experience
  • Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering. 
  • Exploratory Data Analysis – Data Preparation, Data Exploration, and Data Visualization. 
  • Analytics Tools – R, Python, SQL, Power BI, MS Excel.
Read more
DP
Posted by Vahak Talent
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Bengaluru (Bangalore)
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2 - 10 yrs
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₹10L - ₹25L / yr
Data Science
R Programming
Python
DA
PowerBI
+3 more

Who Are We?

 

Vahak (https://www.vahak.in) is India’s largest & most trusted online transport marketplace & directory for road transport businesses and individual commercial vehicle (Trucks, Trailers, Containers, Hyva, LCVs) owners for online truck and load booking, transport business branding and transport business network expansion. Lorry owners can find intercity and intracity loads from all over India and connect with other businesses to find trusted transporters and best deals in the Indian logistics services market. With the Vahak app, users can book loads and lorries from a live transport marketplace with over 5 Lakh + Transporters and Lorry owners in over 10,000+ locations for daily transport requirements.

Vahak has raised a capital of $5+ Million in a Pre-Series A round from RTP Global along with participation from Luxor Capital and Leo Capital. The other marquee angel investors include Kunal Shah, Founder and CEO, CRED; Jitendra Gupta, Founder and CEO, Jupiter; Vidit Aatrey and Sanjeev Barnwal, Co-founders, Meesho; Mohd Farid, Co-founder, Sharechat; Amrish Rau, CEO, Pine Labs; Harsimarbir Singh, Co-founder, Pristyn Care; Rohit and Kunal Bahl, Co-founders, Snapdeal; and Ravish Naresh, Co-founder and CEO, Khatabook.

 

Data Scientist:

We at Vahak, are looking for an enthusiastic and passionate Data Scientist to join our young & diverse team.You will play a key role in the data science group, crunching numbers, building advanced analytical models and predicting critical business metrics from the volumes of big data.

Our goal as a group is to drive powerful, big data analytics products with scalable results.We love people who are humble and collaborative with hunger for excellence.

Responsibilities:

  • Be the go-to person for all advanced analytics (ML/AI) use cases within the larger data science group
  • Build predictive models and machine-learning algorithms to solve business problems by leveraging both batch and real-time datasets
  • Collaborate with engineering and product development teams in the data collection and deployment phase of the model building process
  • Present the model findings using a crisp presentation and use of data visualization techniques
  • Analyze large amounts of information to discover trends and patterns
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Requirements:

  • Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
  • 2+ years of proven experience working as a Data Scientist preferably in ecommerce/web based or consumer technologies company
  • Hands  on experience in building machine learning models from scratch and deploying the same for large scale use cases
  • Hands on experience of working with machine learning frameworks,libraries, data structures and data modelling techniques
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Demonstrated experience of participating in Data Science competitions on platforms like Kaggle would be an added advantage
  • Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)

 

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DP
Posted by Vahak Talent
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Bengaluru (Bangalore)
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5 - 12 yrs
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₹20L - ₹40L / yr
Data Science
Data Analytics
R Programming
Python
SQL
+2 more

Who Are We?

 

Vahak (https://www.vahak.in) is India’s largest & most trusted online transport marketplace & directory for road transport businesses and individual commercial vehicle (Trucks, Trailers, Containers, Hyva, LCVs) owners for online truck and load booking, transport business branding and transport business network expansion. Lorry owners can find intercity and intracity loads from all over India and connect with other businesses to find trusted transporters and best deals in the Indian logistics services market. With the Vahak app, users can book loads and lorries from a live transport marketplace with over 7 Lakh + Transporters and Lorry owners in over 10,000+ locations for daily transport requirements.

Vahak has raised a capital of $5+ Million in a Pre-Series A round from RTP Global along with participation from Luxor Capital and Leo Capital. The other marquee angel investors include Kunal Shah, Founder and CEO, CRED; Jitendra Gupta, Founder and CEO, Jupiter; Vidit Aatrey and Sanjeev Barnwal, Co-founders, Meesho; Mohd Farid, Co-founder, Sharechat; Amrish Rau, CEO, Pine Labs; Harsimarbir Singh, Co-founder, Pristyn Care; Rohit and Kunal Bahl, Co-founders, Snapdeal; and Ravish Naresh, Co-founder and CEO, Khatabook.


 

Manager Data Science:

We at Vahak, are looking for an enthusiastic and passionate Manager of Data Science, to join our young & diverse team.You will play a key role in the data science group, working with different teams, identifying the use cases that could be solved by application of data science techniques.

Our goal as a group is to drive powerful, big data analytics products with scalable results.We love people who are humble and collaborative with hunger for excellence.


Responsibilities:

  • Mine and Analyze end to end business data and generate actionable insights. Work will involve analyzing Customer transaction data, Marketing Campaign performance analysis, identifying process bottlenecks, business performance analysis etc.
  • Identify data driven opportunities to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Collaborate with Product and growth teams to test and learn at unprecedented pace and help the team achieve substantial upside in key metrics
  • Actively participate in the OKR process and help team democratize the key KPIs and metrics that drive various objectives
  • Comfortable with digital marketing campaign concepts, use of marketing campaign platforms such as Google Adwords and Facebook Ads
  • Responsible for design of algorithms that require different advanced analytics techniques  and heuristics to work together
  • Create dashboard and visualization from scratch and present data in logical manner to all the stakeholders
  • Collaborates with internal teams to create actionable items based off analysis; works with the datasets to conduct complex quantitative analysis and helps drive the innovation for our customers

Requirements:

  • Bachelor’s or Masters degree in  Engineering, Science, Maths,  Economics or other quantitative fields. MBA is a plus but not required
  • 5+ years of proven experience working in Data Science field preferably in ecommerce/web based  or consumer technology companies
  • Thorough understanding of implementation and analysis of product and marketing metrics at scale
  • Strong problem solving skills with an emphasis on product development.
  • Fluency in statistical computer languages like SQL, Python, R as well as a deep understanding of statistical analysis, experiments designs and common pitfalls of data analysis
  • Should have worked in a relational database like Oracle or Mysql, experience in Big Data systems like Bigquery or  Redshift a definite plus
  • Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)

 

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DP
Posted by Sarthak Agrawal
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Hyderabad, Bengaluru (Bangalore)
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2 - 6 yrs
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₹12L - ₹20L / yr
Data Science
Machine Learning (ML)
Deep Learning
R Programming
Python
+1 more

Job Description

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

In this role, you will:

  • Extensive knowledge in machine learning and deep learning techniques
  • Solid background in image processing/computer vision
  • Experience in building datasets for computer vision tasks
  • Experience working with and creating data structures / architectures
  • Proficiency in at least one major machine learning framework
  • Experience visualizing data to stakeholders
  • Ability to analyze and debug complex algorithms
  • Good understanding and applied experience in classic 2D image processing and segmentation
  • Robust semantic object detection under different lighting conditions
  • Segmentation of non-rigid contours in challenging/low contrast scenarios
  • Sub-pixel accurate refinement of contours and features
  • Experience in image quality assessment
  • Experience with in depth failure analysis of algorithms
  • Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills
  • Mentor and support other technical team members in the organization
  • Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
  • Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

How you will do this:

  • You’re part of an agile, multidisciplinary team.
  • You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
  • You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
  • You experiment, test, try, fail, and learn continuously.
  • You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

For this role, you must have:

  • Strong knowledge of and experience with the functional programming paradigm.
  • Experience conducting code reviews, providing feedback to other engineers.
  • Great communication skills and a proven ability to work as part of a tight-knit team.
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A stealth mode realty tech start-up

Agency job
via Qrata by Prajakta Kulkarni
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹10L - ₹40L / yr
C#
.NET
ASP.NET
Java
Data Structures
+6 more
What we are looking for?
● You have good understanding of the fundamentals of data science/algorithms or
software engineering
● Preferably you should have done some project or internship related to the field
● Knowledge of SQL is a plus
● A deep desire to learn new things and be a part of a vibrant start-up. You will
have a lot of freehand and this comes with immense responsibility - so it is
expected that you will be willing to master new things that come along!

What you will get to do?
● Build cloud-based services and/or user interfaces
● Participating in all aspects of software development activities, including design,
coding, code review, unit testing, bug fixing, and code/API documentation
● Be the first few members of a growing technology team
Read more

AI-powered cloud-based SaaS solution provider

Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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3 - 12 yrs
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₹10L - ₹25L / yr
Recruitment/Talent Acquisition
Recruitment
LinkedIn
Sourcing
Boolean search
+5 more
I'm Naveen from Wrackle Technologies. I would like to have a word with you in regards to the Talent Acquisition Partner opening we have right now at one of our client's Bidgely. With your knowledge of Talent Acquisition, Sourcing, Hiring, Recruitment, Employer branding, Campus hiring you seem like a great fit!
 
Job Description :
 
Bidgely is looking for extraordinary and dynamic Talent Acquisition professionals to be part of its core team in Bangalore. The ideal candidate must have experience in all areas related to the human resources field.
Responsibilities :
  • Manage end to end recruitment activities by sourcing the best talent from diverse sources and handle the entire Talent management right from joining to exit
  • Strong network within product companies/startups
  • Work with Marketing Team and execute ways to strengthen our brand awareness
  • Review and benchmark the internal and external environment to improve HR/Talent Management
  • Provide excellent candidate experience at each stage of the hiring process
  • Provide Analytical and well-documented reports to the hiring managers.
Requirements :
  • 3+ years experience in Product/Start-Up companies is a must
  • Ability to network and strong interpersonal skills
  • Worked on positions like Data Scientist, Engineering Manager, SDET, DevOps.
  • Good track record of conversions
  • Excellent Written Communication!
  • An open-minded and positive attitude
  • Adaptable and able to fit into the work environment of a fast-growing start-up
  • Strong sense of ethical responsibility
  • Skilled at spreading a good vibe
  • Notice Period should be lesser than one month
 
Kindly share the following details with your updated resume. 
 
Highest Qualification -
Total Years of Experience -
Relevant Years of Experience -
Experience in hiring Data scientists, DevOps, SDE, SDET, etc -
Current Company -
Current Designation -
Current CTC (Fixed + Variable) -
Expected CTC -
Reason for change -
Notice Period - 


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Bengaluru (Bangalore), Hyderabad
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2 - 4 yrs
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₹4L - ₹7L / yr
Data Science
Machine Learning (ML)
Python
Amazon Web Services (AWS)
Windows Azure
+9 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
DP
Posted by Yashika Sharma
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Hyderabad, Bengaluru (Bangalore)
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2 - 4 yrs
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₹2L - ₹4L / yr
Data Science
Computer Vision
Natural Language Processing (NLP)
Machine Learning (ML)
Python
+2 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more

AI-powered cloud-based SaaS solution provider

Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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3 - 6 yrs
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₹20L - ₹40L / yr
Data Science
Weka
Data Scientist
Statistical Modeling
Mathematics
+5 more
Roles and Responsibilities
● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.
● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypothesis through theoretical and empirical approaches.
● Productize proven or working models into production quality code.
● Collaborate with product management, marketing and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions
● Stay current with latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision makers.
● File patents for innovative solutions that add to company's IP portfolio

Requirements
● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.
● BS/MS/PhD in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes (only IITs / IISc / BITS / Top NITs or top US university
should apply)
● Experience in productizing models to code in a fast-paced start-up
environment.
● Expertise in Python programming language and fluency in analytical tools
such as Matlab, R, Weka etc.
● Strong intuition for data and Keen aptitude on large scale data analysis

● Strong communication and collaboration skills.
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Bengaluru (Bangalore)
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3 - 15 yrs
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₹6L - ₹20L / yr
Data Science
Data Scientist
MongoDB
Java
Big Data
+14 more

Senior Big Data Engineer 

Note:   Notice Period : 45 days 

Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA. 

 

We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure. 

 

It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges. 

 

 

Key Qualifications

 

·   5+ years of experience working with Java and Spring technologies

· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations

· Knowledge of microservices architecture is plus 

· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra

· Experience with Kafka or any streaming tools

· Knowledge of Scala would be preferable

· Experience with agile application development 

· Exposure of any Cloud Technologies including containers and Kubernetes 

· Demonstrated experience of performing DevOps for platforms 

· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity

· Exposure to Graph databases

· Passion for learning new technologies and the ability to do so quickly 

· A Bachelor's degree in a computer-related field or equivalent professional experience is required

 

Key Responsibilities

 

· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture

· Design and develop the big data-focused micro-Services

· Involve in big data infrastructure, distributed systems, data modeling, and query processing

· Build software with cutting-edge technologies on cloud

· Willing to learn new technologies and research-orientated projects 

· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed 

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A stealth mode realty tech start-up

Agency job
via Qrata by Prajakta Kulkarni
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Bengaluru (Bangalore)
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1 - 5 yrs
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₹10L - ₹32L / yr
Data Science
Natural Language Processing (NLP)
R Programming
Python
SQL
+2 more
A good understanding of the fundamentals of data science/algorithms or software
engineering
2. Preferably should have done some project or internship related to the field
3. Knowledge of SQL is a plus
4. A deep desire to learn new things and be a part of a vibrant start-up.
5. You will have a lot of freehand and this comes with immense responsibility - so it
is expected that you will be willing to master new things that come along!

Job Description:
1. Design and build a pipeline to train models for NLP problems like Classification,
NER
2. Develop APIs that showcase our models' capabilities and enable third-party
integrations
3. Work across a microservices architecture that processes thousands of
documents per day.
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A global business process management company

Agency job
via Jobdost by Saida Jabbar
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Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
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5 - 10 yrs
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₹20L - ₹22L / yr
Data Science
Kofax
Data Scientist
Machine Learning (ML)
Natural Language Processing (NLP)
+5 more

B1 – Data Scientist  -  Kofax Accredited Developers

 

Requirement – 3

 

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

 

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The creator economy with local production. ( GE1)

Agency job
via Multi Recruit by Ashwini Miniyar
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Bengaluru (Bangalore), Mumbai, Delhi
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5 - 8 yrs
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₹30L - ₹40L / yr
Data Science
Data Scientist
  • You hold an MS/Ph.D. degree in a STEM domain and 5+ years in a relevant position
  • You share your ideas and continuously improve yourself and the team around you.
  • Experienced in building and scaling data teams across multiple locations and domains.
  • You have a good understanding of evolving an organization’s culture based on analytics and data insights
  • Natural and comfortable leader, have excellent problem-solving, organizational, and analytical skills
  • Passionate about data improving business and engineering practices like continuous delivery, traceability, and observability
  • Strong communication skills, high integrity, and great attention to detail

You’ll get to work with:

  • Consumer-facing, as well as core platform, finance, and distribution business units
  • Marketing and product teams, across to our engineering teams
  • Modern infrastructure (Kubernetes, AWS, GCP)

What we offer

  • We offer you a chance to be part of a truly amazing journey in a company that sets very high targets and works hard to achieve them. You will be able to work with smart, motivated, and engaged co-workers from all over the world, in an intense and very energetic environment. This leads to you having a tangible impact on the way that we operate and expand our business.

Some of the highlights of the package include:

  • Strong technical culture of continuous innovation and improvement
  • Chance to become a shareholder of Gelato!
  • Flexible festive holidays, swap days off according to your values and beliefs.
  • Work at one of our hub city offices or even remotely
  • And much more!

 

Read more
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Bengaluru (Bangalore)
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4 - 7 yrs
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₹25L - ₹28L / yr
Data Science
Data Scientist
R Programming
Python
SQL
  • Banking Domain
  • Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
  • Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
  • Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
  • Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
  • Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
  • Keen interest to learn new technologies and latest developments and apply them to projects assigned.
Desired Skills
  • Professional Hands-on coding experience in python for over 1 year for Data scientist, and over 3 years for Sr Data Scientist. 
  • This is primarily a programming/development-oriented role - hence strong programming skills in writing object-oriented and modular code in python and experience of pushing projects to production is important.
  • Strong foundational knowledge and professional experience in 
  • Machine learning, (Compulsory)
  • Deep Learning (Compulsory)
  • Strong knowledge of At least One of : Natural Language Processing or Computer Vision or Speech Processing or Business Analytics
  • Understanding of Database technologies and SQL. (Compulsory)
  • Knowledge of the following Frameworks:
  • Scikit-learn (Compulsory)
  • Keras/tensorflow/pytorch (At least one of these is Compulsory)
  • API development in python for ML models (good to have)
  • Excellent communication skills.
  • Excellent communication skills are necessary to succeed in this role, as this is a role with high external visibility, and with multiple opportunities to present data science results to a large external audience that will include external VPs, Directors, CXOs etc.  
  • Hence communication skills will be a key consideration in the selection process.
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DP
Posted by Vinayak sg
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Bengaluru (Bangalore)
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1 - 5 yrs
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₹6L - ₹15L / yr
Data Science
Data Scientist
Python
Computer Vision
Keras
+7 more
Description
Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
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DP
Posted by Sougata Chatterjee
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Remote, Bengaluru (Bangalore)
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3 - 12 yrs
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₹10L - ₹30L / yr
Data Science
Machine Learning (ML)
Data Scientist
Python
MongoDB
+1 more

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist


Job Description:

  • Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels
  • Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
  • Help scale up the product in a global offering across 100+  global markets

Qualifications:

  • Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
  • At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
  •   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
  •   Solid grasp over  optimization techniques
  •   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
  •   Ability to show a track record of solving large, complex problems
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B2B tech platform in the Fashion Supply Chain

Agency job
via Fabric Monde by Ranjith J N
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Bengaluru (Bangalore)
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2 - 10 yrs
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₹12L - ₹36L / yr
Technical Architecture
Software architecture
Product Management
Data Science
Software Development
+1 more
About the Company: Fabric Monde (fabricmonde.com) is a technology platform in the B2B Fashion space, reimagining how Buyers and Sellers transact in India and abroad.

Team: 3 co-founders who are 2nd-time Entrepreneurs from IIML and IITM + experienced ex Entrepreneurs + believers who are ready to change the industry

Looking for: Tech Leader who can

1. Imagine and Dream as par and beyond with the founding team

2. Evolve dynamically from building products to lead the entire team

3. Build products in pace for pilots to structured large scaling

4. Own, Think, Architect, Design, Build, Lead products

5. Write Tech-related blog posts or give talks

6. Attract tech talent to build the team to scale

7. Understand Business goals and own the Tech piece with Data mindset

We are on a mission to build the largest online Global B2B Marketplace for Fabrics. We have raised a seed round and built the team to take on Udaans and Zilingos of the world.

Apply if

1. You can dedicate the next couple of years to Fabric Monde in disrupting the space we are working in.

2. You are excited about doing great in your life and you believe in yourself.

3. You think of owning the company and not settle for salaries.

P.S: We are imagining that you have it in you to do anything in any technology/stack given an overnight time ;)

This job will have a good ESOPs component along with the fixed salary. 
Read more

App-based lending platform. ( AF1)

Agency job
via Multi Recruit by Ayub Pasha
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹25L - ₹28L / yr
Data Science
Machine Learning (ML)
Data Scientist
Python
Logistic regression
+2 more
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

 

Requirements:

  • 2+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

 

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App-based lending platform. ( AF1)

Agency job
via Multi Recruit by Ayub Pasha
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Bengaluru (Bangalore)
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1 - 2 yrs
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₹15L - ₹17L / yr
Machine Learning (ML)
Data Science
Data Scientist
Python
pandas
+4 more
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

Requirements:

  • 1+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

Read more
DP
Posted by Sandeep Shadankar
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Bengaluru (Bangalore)
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5 - 10 yrs
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₹50L - ₹80L / yr
Data Science
Machine Learning (ML)
Artificial Intelligence (AI)
Python
Deep Learning
+6 more

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

 

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

 

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

 

Basic Qualifications:

  • Five+ years experience working in a Data Science role
  • Extensive experience developing and deploying ML models in real world environments
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
  • Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
  • Experience in advanced math and statistics
  • Excellent familiarity with command line linux environment
  • Able to understand various data structures and common methods in data transformation
  • Experience deploying machine learning models and measuring their impact
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

 

Preferred Qualifications

  • Experience developing recommendation systems
  • Experience developing and deploying deep learning models
  • Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
  • Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
  • Experience with being actively engaged in data science or other research-oriented position
  • You would be comfortable collaborating with cross-functional teams.
  • Active personal GitHub account.
Read more

Innovative Fintech Startup

Agency job
via Qrata by Blessy Fernandes
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Bengaluru (Bangalore)
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5 - 12 yrs
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₹28L - ₹55L / yr
Data Science
Data Scientist
Machine Learning (ML)
Python
Statistical Modeling
+2 more
Lead a team of data scientists from top tier schools and collaborate with Founders and business
heads to solve complex business problems
- Develop statistical, and machine learning-based models/pipelines/methods to improve business
processes and engagements
- Conduct sophisticated data mining analyses of large volumes of data and build data science
models, as required, as part of the credit and risk underwriting solutions; customer engagement and
retention; new business initiatives; business process improvements
- Translate data mining results into a clear business-focused deliverable for decisionmakers
- Working with Application Developers on integrating machine learning algorithms and data mining
models into operational systems so it could lead to automation, productivity increase, and time
savings
- Provide the technical direction required to resolve complex issues to ensure the on-time delivery of
solutions that meet the business team’s expectations. May need to develop new methods to apply
to situations
- Knowledge of how to leverage statistical models in algorithms is a must
- Experience in multivariate analysis; identifying how several parameters can affect
retention/behaviour of the customer and identifying actions at different points of the customer lifecycle

Extensive experience coding in Python and having mentored teams to learn the same
- Great understanding of the data science landscape and what tools to leverage for different
problems
- A great structured thinker that could bring structure to any data science problem quickly
- Ability to visualize data stories and adept in data visualization tools and present insights as cohesive
stories to senior leadership
- Excellent capability to organize large data sets collected from many sources (web APIs and internal
databases) to get actionable insights
- Initiate data science programs in the team and collaborate across other data science teams to build
a knowledge database
Read more

They provide both wholesale and retail funding. PM1

Agency job
via Multi Recruit by Kavitha S
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Bengaluru (Bangalore)
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5 - 5 yrs
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₹10L - ₹15L / yr
Data Analyst
Machine Learning (ML)
Artificial Intelligence (AI)
Data Science
Machine Learning
+1 more
  • Measure the sales effectiveness efforts using data science/app/digital nudges.
  • Should be able to work on the clickstream data
  • Should be well versed and willing to work hands-on various Machine Learning techniques

Skills

  • Ability to lead a team of 5-6 members.
  • Ability to work with large data sets and present conclusions to key stakeholders.
  • Develop a clear understanding of the client’s business issue to inform the best approach to the problem.
  • Root-cause analysis
  • Define data requirements for creating a model and understand the business problem
  • Clean, aggregate, analyze, interpret data and carry out quality analysis of it
  • Set up data for predictive/prescriptive analysis
  • Development of AI/ML models or statistical/econometric models.
  • Working along with the team members
  • Looking for insight and creating a presentation to demonstrate these insights
  • Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects.
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DP
Posted by Dinesh Krishnan
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Bengaluru (Bangalore), Singapore
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2 - 5 yrs
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₹9L - ₹20L / yr
Data Science
Deep Learning
R Programming
Python
Machine Learning (ML)
+2 more
We are a US Headquartered Product Company looking to Hire a few Passionate Deep Learning and Computer Vision Team Players with 2-5 years of experience! If you are any of these:
1. Expert in deep learning and machine learning techniques,
2. Extremely Good in image/video processing,
3. Have a Good understanding of Linear algebra, Optimization techniques, Statistics and pattern recognition.
Then u r the right fit for this position.
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DP
Posted by Gangadhar T.M
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Bengaluru (Bangalore)
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4 - 8 yrs
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₹20L - ₹35L / yr
Data Science
Pricing Strategy
Python
Predictive analytics
Pricing models
+1 more
Looking for Data Scientist with strong expertise in Classical Machine Learning algorithms and strong expertise in SQL and Python.
Experience in Pricing models will be definite plus
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DP
Posted by Akshata Ranka
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Bengaluru (Bangalore)
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7 - 10 yrs
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₹15L - ₹20L / yr
Statistical Analysis
Data mining
Data Visualization
Data Science
R Programming
+7 more

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

 

Key Responsibilities:

  • Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
  • Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
  • Generate clearly understood and intuitive data science / advanced analytics outputs.
  • Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
  • Participate in best practice sharing and communication platform for advancement of the data science discipline.
  • Coach and collaborate with other data scientists and data analysts.
  • Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
  • Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

  • Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
  • 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
  • Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
  • Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
  • Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
  • Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
  • Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
  • Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
  • Strong written and verbal communications skills, as well as presentation skills.

 

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Global internet of things connected solutions provider(H1)

Agency job
via Multi Recruit by Santhosh Kumar KR
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹8L - ₹10L / yr
Data Science
Computer Vision
Machine Learning (ML)
  • Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
  • Build quick prototypes to check feasibility and value to the business.
  • Design, training, and deploying neural networks for computer vision and machine learning-related problems.
  • Perform various complex activities related to statistical/machine learning.
  • Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
  • Collaborate with technology teams to deploy the models to production.

 

Key Criteria:

  • 2+ years of experience in solving complex business problems using machine learning.
  • Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
  • Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
  • Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
  • Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
  • Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
  • Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
  • Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
  • Experience in data visualization software such as Tableau, ELK, etc is a plus.
  • Strong analytical, critical thinking, and problem-solving skills.
Qualifications:
  • B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
  • Minimum 60% in Graduation or Post-Graduation
  • Great interpersonal and communication skills
Read more
DP
Posted by Srinivasan Saripalli
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Bengaluru (Bangalore)
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0.3 - 0.6 yrs
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₹15,000 - ₹25,000 / mo
Data Science
Machine Learning (ML)
Deep Learning
Python
Computer Vision
+3 more
Hiring for Machine Learning Deep Learning, who have build solutions for computer vision ,nlp, Tensorflow, Pytorch, Tensorflow Lite for Android phone 
Read more
DP
Posted by Abhijit Ravuri
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Bengaluru (Bangalore)
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3 - 8 yrs
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₹20L - ₹35L / yr
Data Science
Data Scientist
R Programming
Python
Machine Learning (ML)

CommerceIQ is Hiring Data Scientist (3-5 yrs)

 

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

 

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

  • Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
  • Work on data science roadmap and build the core engine of our flagship CommerceIQ product
  • Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept
  • Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
  • Work with large scale ecommerce data of the biggest brands on amazon
  • Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
  • Drive productization of techniques to be made available to a wide range of customers
  • You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

  • Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers
  • Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
  • Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
  • Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
  • Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
  • Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
  • We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
  • Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

  • Data Scientist: 3 years (Required)

Application Question:

  • Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)
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Anicaa Data

Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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3 - 6 yrs
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₹10L - ₹25L / yr
TensorFlow
PyTorch
Machine Learning (ML)
Data Science
data scientist
+11 more

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

 

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

 

Required Skills:

  • At least 3+ years of experience in a Data Scientist role
  • Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
  • Experience with large data sets, big data, and analytics
  • Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
  • Training Machine Learning (ML) algorithms in areas of forecasting and prediction
  • Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
  • Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
  • Experience in translating business needs into problem statements, prototypes, and minimum viable products
  • Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
  • Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

  • Worked on forecasting projects – both classical and ML models
  • Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
  • Strong background in forecasting accuracy drivers
  • Experience in Advanced Analytics techniques such as regression, classification, and clustering
  • Ability to explain complex topics in simple terms, ability to explain use cases and tell stories
Read more
Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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3 - 8 yrs
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₹20L - ₹40L / yr
Data Science
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Artificial Neural Network (ANN)
+6 more
Roles and Responsibilities

● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.

● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.

● Productize has proven or working models into production-quality code.

● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions

● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.

● File patents for innovative solutions that add to the company's IP portfolio

Requirements

● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.

● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)

● Experience in productizing models to code in a fast-paced start-up
environment.

● Fluency in analytical tools such as Matlab, R, Weka etc.

● Strong intuition for data and Keen aptitude on large scale data analysis

● Strong communication and collaboration skills.
Read more

We’re creating the infrastructure to enable crypto's safe

Agency job
via wrackle by Naveen Taalanki
icon
Bengaluru (Bangalore)
icon
6 - 15 yrs
icon
₹40L - ₹90L / yr
Data Science
Deep Learning
Data Scientist
Machine Learning (ML)
Artificial Neural Network (ANN)
+9 more

Responsibilities

  • Building out and manage a young data science vertical within the organization

  • Provide technical leadership in the areas of machine learning, analytics, and data sciences

  • Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.

  • Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.

  • Develop heuristics, algorithms, and models to deanonymize entities on public blockchains

  • Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.

  • Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.

  • Develop in-house algorithms to generate risk scores for blockchain transactions.

  • Work with data engineers to implement the results of your work.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Build, scale and deploy holistic data science products after successful prototyping.

  • Clearly articulate and present recommendations to business partners, and influence future plans based on insights.

 

Preferred Experience

 

  • >8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus

  • Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground 

  • Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)

  • Excellent communication skills and analytical skills

What you’ll get

  • Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you

  • An excellent culture, we encourage collaboration, growth, and learning amongst the team

  • Competitive salary and equity

  • An autonomous and flexible role where you will be trusted with key tasks.

  • An opportunity to have a real impact and be part of a company with purpose.

Read more
icon
Pune, Bengaluru (Bangalore)
icon
5 - 8 yrs
icon
₹15L - ₹22L / yr
Data Science
Artificial Intelligence (AI)
Deep Learning
Machine Learning (ML)
Hadoop
+6 more

Senior Data Scientist - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Senior Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 5+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Read more
DP
Posted by Mishita Juneja
icon
Pune, Bengaluru (Bangalore)
icon
3 - 5 yrs
icon
₹10L - ₹15L / yr
Data Science
R Programming
Python
Deep Learning
Hadoop
+7 more

Data Scientist - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 3+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Read more

It's a deep-tech and research company.

Agency job
via wrackle by Naveen Taalanki
icon
Bengaluru (Bangalore)
icon
3 - 8 yrs
icon
₹10L - ₹25L / yr
Data Science
Python
Natural Language Processing (NLP)
Deep Learning
Long short-term memory (LSTM)
+8 more
Job Description: 
 
We are seeking passionate engineers experienced in software development using Machine Learning (ML) and Natural Language Processing (NLP) techniques to join our development team in Bangalore, India. We're a fast-growing startup working on an enterprise product - An intelligent data extraction Platform for various types of documents. 
 
Your responsibilities: 
 
• Build, improve and extend NLP capabilities 
• Research and evaluate different approaches to NLP problems 
• Must be able to write code that is well designed, produce deliverable results 
• Write code that scales and can be deployed to production 
 
You must have: 
 
• Fundamentals of statistical methods is a must 
• Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM 
• A solid foundation in Python, data structures, algorithms, and general software development skills. 
• Ability to apply machine learning to problems that deal with language 
• Engineering ability to build robustly scalable pipelines
 • Ability to work in a multi-disciplinary team with a strong product focus
Read more
DP
Posted by Vishal Sharma
icon
Remote, Bengaluru (Bangalore)
icon
2 - 4 yrs
icon
₹10L - ₹20L / yr
Data Science
R Programming
Python
SQL
Natural Language Processing (NLP)

- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques

- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions

- Must have hands-on and strong experience in Python

- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning

- Strong analytical & algorithm development skills

- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc

- Ability to collaborate across teams and strong interpersonal skills

 

Skills

- Sound theoretical knowledge in ML algorithm and their application

- Hands-on experience in statistical modeling tools such as R, Python, and SQL

- Hands-on experience in Machine learning/data science

- Strong knowledge of statistics

- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc

- Experience in Natural Language Processing & Deep Learning techniques 

- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow

Read more

Analytics Consulting Company | REMOTE

Agency job
via Unnati by Veena Salian
icon
Remote, Bengaluru (Bangalore)
icon
2 - 4 yrs
icon
₹18L - ₹20L / yr
Data Science
R Programming
Python
MongoDB
SQL
+3 more
Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.
 
Our client provides data-based process optimization and analytics solutions to businesses worldwide. Their innovative algorithms and customized IT solutions cater to complex problems related to every field or industry, through tools that are non standard and are backed-up by extensive research. They serve startups as well as large, medium and small enterprises, a majority of their clients being industry leaders.
 
With registered offices in India, USA and UAE, their projects support various sectors and functions like logistics, IT, Retail, Ecommerce, Healthcare industry among others, across Asia, America and Europe. The founder holds a Master’s degree from IIT and a PhD in Operations Research from USA, with rich experience in Optimization and Analytics for various industries. His team of top scientists and pedagogy experts are focusing on innovative revenue generation ideas with minimum operational costs.
 
As a Data Scientist, you will apply expertise in machine-learning, data mining and statistical methods to design, prototype, and build the next-generation analytics engines and services.
 
What you will do:
  • Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
  • Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
  • Collaborating with data engineers & architects to implement and deploy scalable solutions
  • Communicating results to diverse audiences with effective writing and visualizations
  • Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
  • Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

 

 

What you need to have:
  • 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
  • Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
  • Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
  • Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
  • Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
  • Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
  • DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
Read more
DP
Posted by Vishal Sharma
icon
Remote, Bengaluru (Bangalore)
icon
3 - 7 yrs
icon
₹10L - ₹24L / yr
Data Science
R Programming
Python
SQL
Machine Learning (ML)
+1 more

Responsibilities:

  • Design and develop strong analytics system and predictive models
  • Managing a team of data scientists, machine learning engineers, and big data specialists
  • Identify valuable data sources and automate data collection processes
  • Undertake pre-processing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams

Requirements:

  • Proven experience as a seasoned Data Scientist
  • Good Experience in data mining processes
  • Understanding of machine learning and Knowledge of operations research is a value addition
  • Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
  • Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
  • Strong math skills (e. g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Experience in Natural Language Processing (NLP)
  • Strong competitive coding skills
  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Read more
DP
Posted by Poornima B
icon
Chennai, Bengaluru (Bangalore)
icon
2 - 4 yrs
icon
Best in industry
Machine Learning (ML)
Python
SQL
Customer Acquisition
Big Data
+2 more
Responsibility
  • Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
  • Good understanding of the underlying business and workings of cross functional teams for successful execution
  • Design and develop analyses based on business requirement needs and challenges.
  • Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
  • Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Apply and learn a wide variety of tools and languages to achieve results
  • Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

Requirements
  • 2 - 4 years  of relevant experience in Data science.
  • Preferred education: Bachelor's degree in a technical field or equivalent experience.
  • Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
  • Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
  • Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
  • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
  • Experience in risk and credit score domains preferred.
Read more
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