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Data Science Jobs in Mumbai

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Arting Digital
Pragati Bhardwaj
Posted by Pragati Bhardwaj
Navi Mumbai
6 - 10 yrs
₹15L - ₹18L / yr
Data Science
Machine Learning (ML)
Python
sql
Aws
+3 more

Title:- Data Scientist


Experience:-6 years

 

Work Mode:- Onsite

 

Primary Skills:- Data Science, SQL, Python, Data Modelling, Azure, AWS, Banking Domain (BFSI/NBFC)

 

Qualification:- Any

 

Roles & Responsibilities:-

 

1.  Acquiring, cleaning, and preprocessing raw data for analysis.

2.  Utilizing statistical methods and tools for analyzing and interpreting complex  datasets.

3.  Developing and implementing machine learning models for predictive analysis.

4.  Creating visualizations to effectively communicate insights to both technical and   non-technical stakeholders.

5.  Collaborating with cross-functional teams, including data engineers, business   analysts, and domain experts.

6.  Evaluating and optimizing the performance of machine learning models for   accuracy and efficiency.

7.  Identifying patterns and trends within data to inform business decision-making.

8.  Staying updated on the latest advancements in data science, machine learning, and  relevant technologies.

 

Requirement:- 

 

1.  Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.

2.  Must have a passion for data, structured or unstructured.  0.6 – 5 years of hands-on experience with Python and SQL is a must.

3.   Should have sound experience in data mining, data analysis and machine learning techniques.

4.  Excellent critical thinking, verbal and written communications skills.

5.  Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

6.   Good presentation skills.


Read more
financing company
Mumbai, Navi Mumbai
10 - 15 yrs
Best in industry
Engineering Management
Data Science
Machine Learning (ML)

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.


REQUIREMENTS:


• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models


Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

Read more
Data Sutram
Ankit Das
Posted by Ankit Das
Mumbai, Gurugram
2 - 10 yrs
Best in industry
Data Science
Python
Data Analytics
Pipeline management
Cloud Computing
+7 more
Data Sutram, funded by India Infoline (IIFL), Indian Angel Network (IAN) and 100x.VC (led by Sanjay Mehta), is an alternate data company, using external data feeds to create every location's DNA that is utilized in various use cases like credit underwriting, location profiling, site selection, etc. It is one of the fastest-growing companies in the space of Artificial Intelligence & Location Analytics in India. As a data scientist, you get to work in our core product and work on various critical client use cases. As a data scientist, you get to explore new solutions and use cases collaborating with Business Analysts & fellow Data Scientists.

Roles and Responsibilities

  • Managing available resources such as hardware, data, and personnel so that deadlines are met.
  • Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
  • Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Defining validation framework and establish a process to ensure acceptable data quality criteria are met
  • Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
  • Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
  • Device self-learning strategies through analysis of errors from the models
  • Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
  • Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
  • Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

 

Preferred Technical & Professional expertise

  • Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
  • At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
  • In-depth knowledge of cloud analytics tools.
  • Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
  • Ability to evaluate hardware selection for running ML models for optimal performance
  • Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
  • Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
  • Deep analytical thinking with excellent problem-solving abilities
  • Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
  • Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
  • Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
  • Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards
Read more
Illumine Knowledge Resources Pvt. Ltd.
Subramaniam Sridhar
Posted by Subramaniam Sridhar
Mumbai, Navi Mumbai
2 - 10 yrs
₹7L - ₹10L / yr
Business Analysis
Quantitative research
Business model
Qualitative research
Data Visualization
+3 more

Strategic Data Analyst

for large scale human transformation projects

FULL-TIME | MUMBAI-BASED | MIN. 2 YRS EXPERIENCE

The Opportunity: 

As a Strategic Analyst, you will play a critical role in improving the effectiveness of Illumine’s human transformation projects on the ground.


ILLUMINE is a design & actualization lab that works on large-scale business & cultural transformation projects with leading corporations, and educational institutions in India. Illumine also works on nation-building projects with the Government to build customer/ citizen-centric services.


Working with Illumine will open up a wide range of possibilities to leverage data, technology & digital tools to ensure large-scale human transformation projects can become more scalable, seamless and highly value creating for clients and beneficiaries.

Key roles and responsibilities:

1. Owning the successful implementation of interventions on the ground by providing strategic insights
This involves –
  1. Leveraging data to identify hotspots/ areas where early decisions/ remedial action needs to be taken.
  2. Identifying issues early (based on patterns) and flagging off for proactive action.
  3. Working with the engagement & deployment teams to take the right strategic decision to improve implementation on ground

2. Enabling internal teams to improve their product/ outcomes with data.
This involves –
  1. Interfacing with multiple teams (e.g. facilitators/ trainers, learning architects, assessment designers, intervention leaders, tech platform owners) to translate practice-level requirements into meaningful insights.
  2. Identifying interdependencies between different products and generating insights that can improve the overall effectiveness of the intervention.
  3.  

You will succeed in this role if you have:

  • the desire to make a difference to the nation and the lives of citizens
  • the excitement to generate new possibilities with data
  • rigor in your thinking and an attention to detail
  • a good understanding of business and strategy
  • a keen interest to understand & impact how people / institutions think, perform and change
  • proven capabilities in taking products to completion (e.g. from conceptualizing the analytical model to building reports, dashboards, presentations)
  • focus on meeting goals & outcomes – doing everything possible to make the outcome happen rather than focusing on only ‘your part’ or ‘your existing skillset’


Preferred Experience/expertise:

  • at least 2 years of overall work experience with data that could include – Analytics, Engineering / Technology, Strategic Consulting, Social Science Research, Cognitive Science, HR / Learning & Organizational Development, Performance / Sports Science, etc.
  • ability to engage with clients/ stakeholders
  • good written and verbal communication skills


Explore further before applying

Read more
Network Science
Leena Shirsale
Posted by Leena Shirsale
Mumbai, Navi Mumbai
5 - 8 yrs
₹20L - ₹25L / yr
ETL
Informatica
Data Warehouse (DWH)
Data engineering
Data Science
+4 more
  • Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
  • Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
  • Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
  • Design, develop and maintain the framework for the analytics solutions pipeline
  • Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
  • Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
  • Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives
Read more
Cogo Freight

at Cogo Freight

6 recruiters
Mrinalini Singh
Posted by Mrinalini Singh
Mumbai, Gurugram
4 - 6 yrs
₹30L - ₹55L / yr
Ruby on Rails (ROR)
Ruby
React.js
PostgreSQL
Cloud Computing
+5 more

Cogoport Story

Do you prefer to get speeding tickets or parking tickets?

 

Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.

 

The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.

 

Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR) by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.

 

Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.

 

Cogoport Leadership

https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/

 

Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.

 

With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.

 

For more insights about the company:  https://cogoport.com/about">https://cogoport.com/about

  

Why Cogoport?

 

International Trade can be complicated at times and every day brings new challenges and opportunities to learn.  When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.

 

As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.

 

Areas of Impact for you

  • Hands-on management with deep-dive into the details of software design, implementation and debugging.
  • Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
  • Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
  • Develop large multi-tenant applications in Rails.
  • Understand Rails best practices and religiously introduce those to codebase.
  • Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.

 

Desirable Skills and Experience

  • Loves coding.
  • 4-6 years of experience managing technology teams.
  • Demonstrated ability to build complex scalable technology products.
  • Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
  • Understanding scaling strategies for a high-traffic Rails applications.
  • Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
  • Experience in using ActiveRecordSerialize, RSpec and active interaction.Engin
  • Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
  • Expertise in Data Science and Machine Learning is a plus.
  • Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.

 

 

Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.  

Read more
Cogo Freight

at Cogo Freight

6 recruiters
Mrinalini Singh
Posted by Mrinalini Singh
Mumbai, Gurugram, Delhi, Noida, Ghaziabad, Faridabad
2 - 4 yrs
₹25L - ₹35L / yr
Ruby on Rails (ROR)
Ruby
React.js
PostgreSQL
Cloud Computing
+5 more

Cogoport Story

Do you prefer to get speeding tickets or parking tickets?

 

Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.

 

The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.

 

Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR)  by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.

 

Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.

 

Cogoport Leadership

https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/

 

Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.

 

With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.

 

For more insights about the company:  https://cogoport.com/about">https://cogoport.com/about

  

Why Cogoport?

 

International Trade can be complicated at times and every day brings new challenges and opportunities to learn.  When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.

 

As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.

 

Areas of Impact for you

  • Hands-on management with deep-dive into the details of software design, implementation and debugging.
  • Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.
  • Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
  • Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
  • Develop large multi-tenant applications in Rails.
  • Understand Rails best practices and religiously introduce those to the codebase.
  • Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.

 

Desirable Skills and Experience

  • Loves coding.
  • 2-4 years of experience building scalable & complex products from scratch.
  • Demonstrated ability to build complex scalable technology products.
  • Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
  • Understanding scaling strategies for high-traffic Rails applications.
  • Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
  • Experience in using ActiveRecordSerialize, RSpec and active interaction.
  • Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
  • Expertise in Data Science and Machine Learning is a pl
  • Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.

                  

 

Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.  

Read more
liquiloans

at liquiloans

5 recruiters
Dhirendra Singh
Posted by Dhirendra Singh
Mumbai
4 - 8 yrs
₹20L - ₹25L / yr
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+4 more
 Role: AVP Analytics
 The AVP Analytics will have the following responsibilities:
 • Analyze data across all verticals in the organization to come up with actionable insights and recommendations 
• Conceptualize and define key metrics to track for all functions within the organization
 • Create strategic roadmap and business cases to enter into new products/lines of business
 • Build, develop and maintain dashboards and performance metrics support that support key business decisions. 
• Lead cross-functional projects using advanced data analytics to discover insights that will guide strategic decisions and uncover optimization opportunities. 
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. 
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
 • Recruit, train, develop and supervise analyst-level employees. 
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. 
 
 Founding Team
 1. Achal Mittal (https://www.linkedin.com/in/achal-mittal-8a95993a/" target="_blank">https://www.linkedin.com/in/achal-mittal-8a95993a/): NMIMS Alum, Ex ICICI and HSBC and co-founded Rentomojo 
 2. Gautam Adukia (https://www.linkedin.com/in/gautam-adukia-415a0650/" target="_blank">https://www.linkedin.com/in/gautam-adukia-415a0650/): IIM Alum, Ex IIFL
 Funding: Raised Seed Round funding from Matrix Partners  
Read more
Angel One

at Angel One

4 recruiters
Vineeta Singh
Posted by Vineeta Singh
Remote, Mumbai
3 - 7 yrs
₹5L - ₹15L / yr
Data Science
Data Scientist
Python
SQL
R Language
+1 more

Role : 

  • Understand and translate statistics and analytics to address business problems
  • Responsible for helping in data preparation and data pull, which is the first step in machine learning
  • Should be able to do cut and slice data to extract interesting insights from the data
  • Model development for better customer engagement and retention
  • Hands on experience in relevant tools like SQL(expert), Excel, R/Python
  • Working on strategy development to increase business revenue

 


Requirements:

  • Hands on experience in relevant tools like SQL(expert), Excel, R/Python
  • Statistics: Strong knowledge of statistics
  • Should able to do data scraping & Data mining
  • Be self-driven, and show ability to deliver on ambiguous projects
  • An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment
  • Should have worked on Business Projects for an organization, Ex: customer acquisition, Customer retention.
Read more
Persistent Systems

at Persistent Systems

1 video
1 recruiter
Agency job
via Milestone Hr Consultancy by Jyoti Sharma
Bengaluru (Bangalore), Hyderabad, Pune, Nagpur, Mumbai
4 - 13 yrs
₹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
Ganit Business Solutions

at Ganit Business Solutions

3 recruiters
Viswanath Subramanian
Posted by Viswanath Subramanian
Chennai, Bengaluru (Bangalore), Mumbai
4.5 - 6 yrs
₹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.
Read more
Square Panda India LLP

at Square Panda India LLP

1 recruiter
Luisa Fernandes
Posted by Luisa Fernandes
Mumbai
6 - 8 yrs
₹12L - ₹15L / yr
Analytics
Data Analytics
Data Science

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

 

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

Read more
Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
5 - 10 yrs
₹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 

 

Read more
Bengaluru (Bangalore), Mumbai, Delhi
5 - 8 yrs
₹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!

 

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CarWale

at CarWale

5 recruiters
Vanita Acharya
Posted by Vanita Acharya
Navi Mumbai, Mumbai
3 - 5 yrs
₹10L - ₹15L / yr
Data Science
Data Scientist
R Programming
Python
Machine Learning (ML)
+1 more

About CarWale: CarWale's mission is to bring delight in car buying, we offer a bouquet of reliable tools and services to help car consumers decide on buying the right car, at the right price and from the right partner. CarWale has always strived to serve car buyers and owners in the most comprehensive and convenient way possible. We provide a platform where car buyers and owners can research, buy, sell and come together to discuss and talk about their cars.We aim to empower Indian consumers to make informed car buying and ownership decisions with exhaustive and un-biased information on cars through our expert reviews, owner reviews, detailed specifications and comparisons. We understand that a car is by and large the second-most expensive asset a consumer associates his lifestyle with! Together with CarTrade & BikeWale, we are the market leaders in the personal mobility media space.About the Team:We are a bunch of enthusiastic analysts assisting all business functions with their data needs. We deal with huge but diverse datasets to find relationships, patterns and meaningful insights. Our goal is to help drive growth across the organization by creating a data-driven culture.

We are looking for an experienced Data Scientist who likes to explore opportunities and know their way around data to build world class solutions making a real impact on the business. 

 

Skills / Requirements –

  • 3-5 years of experience working on Data Science projects
  • Experience doing statistical modelling of big data sets
  • Expert in Python, R language with deep knowledge of ML packages
  • Expert in fetching data from SQL
  • Ability to present and explain data to management
  • Knowledge of AWS would be beneficial
  • Demonstrate Structural and Analytical thinking
  • Ability to structure and execute data science project end to end

 

Education –

Bachelor’s degree in a quantitative field (Maths, Statistics, Computer Science). Masters will be preferred.

 

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Egnyte

at Egnyte

4 recruiters
Prasanth Mulleti
Posted by Prasanth Mulleti
Remote, Mumbai
4 - 10 yrs
Best in industry
Data Science
data scientist
Machine Learning (ML)
Time series
QoS
+7 more

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

 

What You’ll Do will include (But not limited to):

  • Preparing datasets needed to train and validate our machine learning models
  • Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
  • Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
  • Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
  • Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
  • Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
  • Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
  • Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
  • Partnering with cross-functional team members to bring large scale data engineering solutions to production
  • Communicating your approach and results to a wider audience through presentations

Your Qualifications:

  • Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
  • Good knowledge of traditional machine learning methods and neural networks
  • Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
  • Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
  • Ability to implement data import, cleansing and transformation functions at scale
  • Fluency in Docker, Kubernetes
  • Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
  • Solid English skills to effectively communicate with other team members

 

Due to the nature of the role, it would be nice if you have also:

  • Experience with large datasets and distributed computing, especially with the Google Cloud Platform
  • Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
  • Experience with No–SQL and Graph databases
  • Experience working in a Colab, Jupyter, or Python notebook environment
  • Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
  • Knowledge of Java, Scala or Go-Lang programming languages
  • Familiarity with KubeFlow
  • Experience with transformers, for example the Hugging Face libraries
  • Experience with OpenCV

 

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

 

#LI-Remote

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Innovative Brand Design Studio
Agency job
via Unnati by Astha Bharadwaj
Mumbai
2 - 5 yrs
₹8L - ₹15L / yr
Data Science
Data Scientist
Python
Tableau
R Programming
+7 more
Come work with a growing consumer market research team that is currently serving one of the biggest FMCG companies in the world.
 
Our client works with global brands and creates projects that are user-centric. They build cost-effective and compelling product stories that help their clients gain a competitive edge and growth in their brand image. Their team of experts consists of academicians, designers, startup specialists and experts are working for clients across 12 countries targeting new markets and solutions with an excellent understanding of end-users.
 
They work with global brands from FMCG, Beauty and Hospitality sectors, namely Unilever, Lipton, Lakme, Loreal, AXE etc. who have chosen them for a long-term relationship, depending on their insights, consumer research, storytelling and contetnt experience. The founder is a design and product activation expert with over 10 years of impact and over 300 completed projects in India, UK, South Asia and USA.
 
As a Data Scientist, you will help to deliver quantitative consumer primary market research through Survey.
 
What you will do:
  • Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher.
  • Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
  • Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as
  • Working on Basic Statistical Analysis such as:T-Test &Correlation
  • Performing more complex data analysis processes through Machine Learning technique such as:
  1. Classification
  2. Regression
  3. Clustering
  4. Text
  5. Analysis
  6. Neural Networking
  • Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use.
  • Working on Statistical and mathematical modelling, application of ML and AI algorithms

 

What you need to have:
  • Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience.
  • An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.

 

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Railofy

at Railofy

1 video
1 recruiter
Manan Jain
Posted by Manan Jain
Mumbai
2 - 5 yrs
₹5L - ₹12L / yr
Data Science
Python
R Programming

About Us:

We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.

Functional Experience:

  • Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
  • 2+ years of data science experience working with large datasets
  • Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
  • Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
  • Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
  • Good knowledge of Machine Learning and Statistical time series analysis (optional)
  • Unparalleled logical ability making you the go to guy for all things related to data
  • You love coding like a hobby and are up for a challenge!

 

Cultural:

  • Assume a strong sense of ownership of analytics : Design, develop & deploy
  • Collaborate with senior management, operations & business team
  • Ensure Quality & sustainability of the architecture
  • Motivation to join an early stage startup should go beyond compensation
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upGrad

at upGrad

1 video
19 recruiters
Priyanka Muralidharan
Posted by Priyanka Muralidharan
Bengaluru (Bangalore), Mumbai
4 - 6 yrs
₹10L - ₹21L / yr
Data Science
R Programming
Python
SQL
Natural Language Processing (NLP)
+2 more

About Us

upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.

  • upGrad was awarded the Best Tech for Education by IAMAI for 2018-19

  • upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-

    after startups in India

  • upGrad was earlier selected as one of the top ten most innovative companies in India

    by FastCompany.

  • We were also covered by the Financial Times along with other disruptors in Ed-Tech

  • upGrad is the official education partner for Government of India - Startup India

    program

  • Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning

     

    Role Summary

    Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
    If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
    We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
    Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.


    Roles & Responsibilities

      • 3+ years of experience in analytics, data science, machine learning or comparable role
      • Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline 
      • Experience in building and deploying Machine Learning models in Production systems
      • Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
      • Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
      • Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders 
      • Comfortable dealing with ambiguity and competing objectives

       

      Skills Required

      • Experience in Text Analytics, Natural Language Processing

      • Advanced degree in Data Science/Data Analytics or Math/Statistics

      • Comfortable with data-visualization tools and techniques

      • Knowledge of AWS and Data Warehousing

      • Passion for building data-products for Production systems - a strong desire to impact

        the product through data-science technique

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CRMnext

at CRMnext

2 recruiters
Deepak Sharma
Posted by Deepak Sharma
Mumbai
2 - 4.6 yrs
₹3L - ₹6L / yr
Python
Big Data
Data Science
R Programming

We are Still Hiring!!!


Dear Candidate,


This email is regarding open positions for Data Engineer Professionals with our organisation CRMNext.


In case, you find the company profile and JD matching your aspirations and your profile matches the required Skill and qualifications criteria, please share your updated resume with response to questions.


We shall reach you back for scheduling the interviews post this.


About Company:


Driven by a Passion for Excellence


Acidaes Solutions Pvt. Ltd. is a fast growing specialist Customer Relationship Management (CRM) product IT company providing ultra-scalable CRM solutions. It offers CRMNEXT, our flagship and award winning CRM platform to leading enterprises both on cloud as well as on-premise models. We consistently focus on using the state of art technology solutions to provide leading product capabilities to our customers.


CRMNEXT is a global cloud CRM solution provider credited with the world's largest installation ever. From Fortune 500 to start-ups, businesses across nine verticals have built profitable customer relationships via CRMNEXT. A pioneer of Digital CRM for some of the largest enterprises across Asia-Pacific, CRMNEXT's customers include global brands like Pfizer, HDFC Bank, ICICI Bank, Axis Bank, Tata AIA, Reliance, National Bank of Oman, Pavers England etc. It was recently lauded in the Gartner Magic Quadrant 2015 for Lead management, Sales Force Automation and Customer Engagement. For more information, visit us at www.crmnext.com


Educational Qualification:


B.E./B.Tech /M.E./ M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)


60% in Xth, XIIth /diploma, B.E./B.Tech/M.E/M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)


All education should be regular (Please Note - Degrees through Distance learning/correspondence will not consider)


Exp level- 2 to 5 yrs


Location-Andheri (Mumbai)


Technical expertise required:


1)Analytics experience in the BFSI domain is must


2) Hands on technical experience in python, big data and AI


3) Understanding of datamodels and analytical concepts


4) Client engagement :


Should have run in past client engagements for Big data/ AI projects starting from requirement gathering, to planning development sprints, and delivery


Should have experience in deploying big data and AI projects


First hand experience on data governance, data quality, customer data models, industry data models


Aware of SDLC.

 


Regards,
Deepak Sharma
HR Team

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Episource

at Episource

11 recruiters
Manas Ranjan Kar
Posted by Manas Ranjan Kar
Mumbai
4 - 8 yrs
₹12L - ₹20L / yr
Python
Machine Learning (ML)
Data Science
Amazon Web Services (AWS)
Apache Spark
+1 more

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.


This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.


You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.



What you will achieve:

  • Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

  • Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

  • Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

  • Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

  • Partner with the executive team and other business leaders to deliver cross-functional research work and models






Required Skills:


  • Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

  • Knowledge of deep learning & NLP

  • Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

  • Experience with GPU computing is a plus.

  • Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

  • Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

  • Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

  • Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

  • Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling


Qualifications

  • Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

  • Expert-level experience with machine learning that can be applied to business problems

  • Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

  • Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

  • Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

  • 5+ years of industry experience in data science and machine learning, preferably at a software product company

  • 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

  • 3+ years of experience partnering with executive staff on data topics

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eparchi

at eparchi

1 recruiter
Sailesh Rekhani
Posted by Sailesh Rekhani
Remote, Raipur, Bengaluru (Bangalore), Mumbai
1 - 8 yrs
₹8L - ₹12L / yr
Android Development
Java
Git
HTML/CSS
Javascript
+11 more
  • Write, test, debug and ship code and gather feedback on the scale, performance, security to incorporate back into the platform. 
  • Work with the founders to identify complex technical problems and solve them. 
  • Work with the product design and client experience development team to support 

them with scalable services 

  • Feed into the overall mission and vision of the eParchi’s platform over the period of the coming months and years. 
  • An ability to perform well in a fast-paced environment 
  • Excellent analytical and multitasking skills. 
       ● Will have to dedicate full time until the college opens, after which he needs to dedicate 6-7 hours on weekdays and full time on weekends.
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Quantiphi Inc.

at Quantiphi Inc.

1 video
10 recruiters
Bhavisha Mansukhani
Posted by Bhavisha Mansukhani
Mumbai
1 - 5 yrs
₹3L - ₹15L / yr
Data Science
Decision Science
Data modeling
Statistical Modeling
Python
+3 more
About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.
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Truebil.com

at Truebil.com

2 recruiters
Pallavi Pisal
Posted by Pallavi Pisal
Mumbai
1 - 2 yrs
₹12L - ₹18L / yr
Product Management
Product Lifecycle Management (PLM)
Data Analytics
Data Science
Associate Product Manager at Truebil As an Associate Product Manager at Truebil, you will assist in driving the product planning and conceptual definition, as well as the technical execution of the product from beginning to end. You should be keen for building and constantly improving the product using industry experience and feedback from customers. You possess a unique blend of business and technical savvy. You will work with the Technology team to define product release requirements. Your work will guide the Sales and Operations team as well as the marketing team to define the go-to-market strategy, helping them understand the product positioning, key benefits, and target customer. Key Responsibilities: • Assist product delivery - from the smallest bug fix to a feature release and hence in managing the whole product life cycle • Help define innovative yet simple and intuitive products • Act as liaison between business and technology teams and oversee the day-to-day analysis of all product related initiatives to make recommendations to optimize product's functioning to drive business and enhance customer experience • Leverage analytics data and conversion metrics to identify & resolve pain points in user flow • Close involvement in documentation, validation, verification of critical performance data, feedback and findings related to the customer buying funnel Requirements : • Product management or relevant work experience • Experience managing the entire product lifecycle • High-level conceptual thinking about product / user problems • Should be very comfortable with SQL and data analytics and an inclination for numbers with a keen eye for business metric • Experience designing simple and intuitive user interfaces through wireframes and mockups • Strong time management and prioritization skills • Good communication skills along with the ability to effectively collaborate with cross functional teams • Ability to articulate and defend product priorities and strategy for impact • Experience with Product Discovery, Design Thinking, Lean Product a plus • Experience as a designer, developer, data analyst or user researcher a plus
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X Billion Labs

at X Billion Labs

2 recruiters
Nathan Almeida
Posted by Nathan Almeida
Mumbai
1 - 3 yrs
₹2L - ₹4L / yr
Android Development
HTML/CSS
jQuery
Data Science
Python
+3 more
Join a growing team to build a product that uses data in imaginative ways
Read more
Paysense Services India Pvt Ltd
Pragya Singh
Posted by Pragya Singh
NCR (Delhi | Gurgaon | Noida), Mumbai
2 - 7 yrs
₹10L - ₹30L / yr
Data Science
Python
Perl
Django
Machine Learning (ML)
+1 more
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.
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Paysense Services India Pvt Ltd
Pragya Singh
Posted by Pragya Singh
Mumbai, NCR (Delhi | Gurgaon | Noida)
2 - 6 yrs
₹12L - ₹30L / yr
NodeJS (Node.js)
Python
Java
MySQL
Amazon Web Services (AWS)
+2 more
About Us:Paysense is Nexus and Jungle funded startup focussed on improving the financial lives of the indian consumer. In an exclusive partnership with India Infoline (IIFL ~$600 mn networth), we are reinventing credit and access to it for the next billion Indian consumers. Traditional banks and lending institutions in India are serving less than 5% of all credit requirements. Primary sources of data on consumer spend and credit behaviour either do not exist, or, are fundamentally broken. We saw this as a challenging opportunity to build out large scale credit system from scratch. Our team comprises of engineers, data scientists and product leaders from Stanford, IIT and UCLA; and we are looking for mission driven team mates who are ambitious, work hard, are super smart and yet humble. If this sounds like you, we’d love to have a chat.About the job:- Backend development at Paysense means writing web systems that receive and process millions of requests per minute. - You will write code that stores and analyzes large scale data in milliseconds: architect and develop data processing and warehouse systems- Develop internal and external platform that powers next generation of credit lending systems- Design tech to build graph/network connecting users- Write systems that are integrated with all leading banks, bureaus and financial institutions.About you:- 2+ years of experience with one of the following is must: Python/Java/nodeJS.- Strong experience with Postgres or another SQL RDBMS.- Working knowledge of AWS or other cloud service.- Experience working in finance domain is a plus.- Experience with Python, Django, or data science toolkits (pandas, scikit, sparkML) is a plus.- Strong CS fundamentals - algorithms, database and systems design.- Degree in CS/Maths from tier-1 engineering institutes.
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Monexo Fintech

at Monexo Fintech

1 video
5 recruiters
Mukesh Bubna
Posted by Mukesh Bubna
Mumbai, Chennai
1 - 3 yrs
₹3L - ₹5L / yr
Data Science
Python
R Programming
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
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Bewakoof Brands Pvt Ltd

at Bewakoof Brands Pvt Ltd

2 recruiters
Sahil Khan
Posted by Sahil Khan
Mumbai
1 - 2 yrs
₹8L - ₹12L / yr
Data Science
R Programming
Tableau
1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)
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GEP Worldwide

at GEP Worldwide

3 recruiters
Archy Singh
Posted by Archy Singh
Navi Mumbai, Hyderabad
3 - 7 yrs
₹2L - ₹5L / yr
R Programming
Python
Data Science
Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.
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