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24+ Statistical Modeling Jobs in India

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Porter.in

at Porter.in

1 recruiter
Agency job
via UPhill HR by Ingit Pandey
Bengaluru (Bangalore)
4 - 8 yrs
₹15L - ₹28L / yr
Python
SQL
Data Visualization
Data modeling
Predictive modelling
+1 more

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include


Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required


Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.


KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.


Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.


Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.


Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

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Crayon Data

at Crayon Data

2 recruiters
Varnisha Sethupathi
Posted by Varnisha Sethupathi
Chennai
5 - 8 yrs
₹15L - ₹25L / yr
SQL
Python
Analytical Skills
Data modeling
Data Visualization
+1 more

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

 
 

Can you say “Yes, I have!” to the below? 
 
 

  1. Experience with exploratory analysis, statistical analysis, and model development 
     
  1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
     
  1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
     
  1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
     
  1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
     

 
 

 

Can you say “Yes, I will!” to the below? 
 
 

  1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
     
  1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
     
  1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
     
  1. Coordinate individual teams to fulfil client requirements and manage deliverable 
     
  1. Communicate and present complex concepts to business audiences 
     
  1. Travel to client locations when necessary  

 

 

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

 

 

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RITES

at RITES

1 recruiter
Suraj Kasat
Posted by Suraj Kasat
Pune
2 - 5 yrs
₹3.5L - ₹5L / yr
Data Visualization
Data Analytics
Statistical Modeling
Probability
Clustering
+3 more
This job requires the candidate to have advanced knowledge of python including but not limited to topics such as data analytics, data visualization, statistical analysis, probabilistic analysis, database management.

We will build a comprehensive backtesting platform for trading in the NSE F&O segment.

Any knowledge of financial markets is a bonus
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Decision Point

at Decision Point

3 recruiters
Arijit Mukherjee
Posted by Arijit Mukherjee
Gurugram
2 - 4 yrs
₹10L - ₹15L / yr
Business Analysis
Data Analytics
Data Visualization
Statistical Modeling
Data management
Roles & Responsibility:

The incumbent for the position isexpected to deliver but not limited to on following responsibilities:

Set up processes for data management, templatized analytical modules/deliverables.Continuously improve processes with focus on automation and partner with different teams to develop system capability
Understand business briefs clearly and execute new/ad-hoc projects and ensure timely delivery
Keep managers informed about progress on projects and proactively flag gaps on data availability, hiccups on analysis
Develop and enhance statistical model with best in class modelling techniques
Managing the project in Gannt Chart
Deliveron informative and well-organized deliverables
Proactively seek opportunities to help team members by sharing knowledge and expanding skills
Ability to communicate difficult/sensitive information tactfully
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Carsome

at Carsome

3 recruiters
Piyush Palkar
Posted by Piyush Palkar
Kuala Lumpur
3 - 5 yrs
₹20L - ₹25L / yr
SQL
Python
MS-Office
Marketing
Startups
+9 more

Your Day-to-Day

  • Assist our Growth Strategists in analyzing the results of A/B experiments.
  • Analysis on customer engagement rates, customer acquisition projects ( ex. Churn rate prediction, Attribution etc. )
  • Analyse marketing channel performance and Deep-dive reports to stakeholders and Management
  • Building statistical experimentation templates for faster A/B outputs
  • Work on forecasting models and assisting senior Management in creating frameworks on growth models
  • Local implementation of marketing analytics projects related to improving marketing channels effectiveness, customer segmentation, campaign optimization, etc
  • Monitor campaigns against key performance indicators (KPIs), be fully aware of trends and analytics, success and risks in order to achieve business objectives.
  • Communicate complex ideas into understandable reports/documentation and this will include leveraging on leading software tools such as Tableau.

Your Know-Know


  • 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
  • Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
  • Must have SQL/PostgreSQL/Tableau Experience. 
  • Added advantage: Experience with Google Analytics, CRM (MoEngage, Braze,Leanplum).
  • Preferred knowledge of statistical computer languages (Python / R, etc). 
  • Analytical mindset with ability to present data in a structured and informative way
  • Enjoy a fast-paced environment and can align business objectives with product priorities
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Passion Gaming

at Passion Gaming

2 recruiters
Trivikram Pathak
Posted by Trivikram Pathak
Panchkula
1 - 4 yrs
₹6.5L - ₹9.5L / yr
Data Science
Data Analytics
Python
SQL
NOSQL Databases
+5 more

We are currently looking for a Junior Data Scientist to join our growing Data Science team in Panchkula. As a Jr. Data Scientist, you will work closely with the Head of Data Science and a variety of cross-functional teams to identify opportunities to enhance the customer journey, reduce churn, improve user retention, and drive revenue.

Experience Required

  • Medium to Expert level proficiency in either R or Python.
  • Expert level proficiency in SQL scripting for RDBMS and NoSQL DBs (especially MongoDB)
  • Tracking and insights on key metrics around User Journey, User Retention, Churn Modelling and Prediction, etc.
  • Medium-to-Highly skilled in data-structures and ML algorithms, with the ability to create efficient solutions to complex problems.
  • Experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring and maintenance.
  • Medium-to-Proficient in creating beautiful Tableau dashboards.
  • Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive the required outcomes.
  • Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
  • Proficient in at least a few of the following: regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, GLM, GLMM, clustering, Deep learning etc.

Good to Have

  • Experience in one of the upcoming technologies like deep learning, recommender systems, etc.
  • Experience of working in the Gaming domain
  • Marketing analytics, cross-sell, up-sell, campaign analytics, fraud detection
  • Experience in building and maintaining Data Warehouses in AWS would be a big plus!

Benefits

  • PF and gratuity
  • Working 5 days a week
  • Paid leaves (CL, SL, EL, ML) and holidays
  • Parties, festivals, birthday celebrations, etc
  • Equability: absence of favouritism in hiring & promotion
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Global Media Agency
Agency job
via Merito by Merito Talent
Delhi
5 - 10 yrs
₹14L - ₹17L / yr
Statistical Modeling
SQL
Digital Marketing
Digital media
Marketing Mix Modeling (MMM)
+1 more
About Merito :-

Merito is a curated talent platform where we identify, assess, and connect candidates for matching job opportunities. We are working with the mission to change the way hiring is done. The company is founded by a team of alumni from IIM Ahmedabad, McKinsey with more than 2 decades of experience in recruitment, training, and coaching.

About our client :-

Our client is a global data and measurement-driven media agency whose mission is to make brands more valuable to the world. Clients include Google, Flipkart, NBCUniversal, L’Oréal and the Financial Times. The agency is more than 2,000 people strong, manages $4.5B in annualized media spend, and deploys campaigns in 121 markets via 22 offices in APAC, EMEA and the Americas.

About the role :-

Accountable for quantifying and measuring the success of our executions and for delivering insights that enable us to innovate the work we deliver. You will be liaising with other teams and leading analysis setup and post campaigns review.

Some of the things we’d like you to do:-

 Key poc for project setup, analysis, and post-campaign reviews

 Liaise closely with clients (internally and externally) on projects and become their trusted advisor

 Build statistical models on historical data with comprehensive measurement, and test & learn plans

 Provide direction and leadership to direct reports, working with them on goals, motivations, and career progression

 Work with key stakeholders to assess project needs and ensure best-in- class work is being delivered

 Take direct responsibility for quality of work and smooth operation of campaigns

 Advise on best practice in your area

 Play a prominent role in the induction of new employees, teaching them company’s approach to Analytics

 Work across, and with, all bands, disciplines, and offices, ensuring continuous collaboration and progression

A bit about yourself:

 Statistical/Mathematical degree from reputed institute

 Proficiency with systems such as SQL and ‘R’ with at least 2 years of digital marketing/media background

 Strong analytical skills - ability to analyze raw data, find insights, and provide actionable strategic recommendations

 Hands on experience of at least 5-7 years in Statistical modeling is mandatory

 Have a high understanding of marketing campaigns and their objectives

 Strong verbal and written communicator with ability to build relationships at all levels within the business

 Ability to manage a small team effectively to bring out the best in their skill sets, motivating them to succeed, and keeping their focus.

 Strong work ethic, with ability to manage multiple projects, people, and time zones to meet deadlines and deliver results.
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Bengaluru (Bangalore)
9 - 12 yrs
₹45L - ₹55L / yr
Risk Management
Risk analysis
Statistical Modeling
Predictive analytics
Credit Risk
+2 more

The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.

 

Key Expectations

  • Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
  • Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
  • Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
  • Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
  • Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
  • Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
  • Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
  • Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
  • Partner with Engineering team to implement policies and scorecards.
  • Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.

 

Competencies -

  • Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
  • Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
  • Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
  • Outstanding communication skills, both verbal and written          

 

 

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Bengaluru (Bangalore)
3 - 6 yrs
₹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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Innovative Fintech Startup
Agency job
via Qrata by Blessy Fernandes
Bengaluru (Bangalore)
5 - 12 yrs
₹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
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Bengaluru (Bangalore)
5 - 10 yrs
₹10L - ₹40L / yr
Data Science
Data Scientist
Python
Statistical Modeling
Statistical Analysis
+2 more

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

  • Lead a team of data scientists, machine learning engineers and big data specialists
  • Be the main point of contact for the customers
  • Lead data mining and collection procedures
  • Ensure data quality and integrity
  • Interpret and analyze data problems
  • Conceive, plan and prioritize data projects
  • Build analytic systems and predictive models
  • Test performance of data-driven products
  • Visualize data and create reports
  • Experiment with new models and techniques
  • Align data projects with organizational goals

Requirements (please read carefully)

  • Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
  • Msc-Statistics/ Phd.Statistics
  • Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
  • Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
  • Proven experience as a Data Scientist or similar role, for about 7-8 years
  • Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
  • Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
  • Knowledge of data management and visualization techniques --- more from a Data Science perspective.
  • Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
  • Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

 http://www.altimetrik.com/">http://www.altimetrik.com

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Bengaluru (Bangalore)
6 - 15 yrs
₹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.

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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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Chennai
3 - 5 yrs
₹12L - ₹20L / yr
Data Science
Data Scientist
R Programming
Python
Machine Learning (ML)
+9 more
  • 3+ years experience in practical implementation and deployment of ML based systems preferred.
  • BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
  • Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
  • Experience in working on modeling graph structures related to spatiotemporal systems
  • Programming skills in Python
  • Experience in developing and deploying on cloud (AWS or Google or Azure)
  • Good verbal and written communication skills
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
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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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Remote only
3 - 7 yrs
₹6L - ₹15L / yr
Data Science
Data Analytics
R Programming
Python
Statistical Modeling
+2 more
Key Responsibilities:• Apply Data Mining/ Data Analysis methods using a variety of data tools, building andimplementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions• Assess accuracy of new data sources and data gathering techniques• PerformExploratory Data Analysis, detailed analysis of business problems and technical environments indesigning the solution• Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms• Apply advanced Machine Learning Algorithms and Statistics:o Regression, Simulation, Scenario Analysiso Time Series Modellingo Classification -Logistic Regression, Decision Trees, SVM, KNN, Naive Bayeso Clustering, K-Means, Aprioprio Ensemble Models -Random Forest, Boosting, Baggingo Neural Networks• Lead and manage Proof of Concepts and demonstrate the outcomes quickly• Document use cases, solutions and recommendations• Work analytically in a problem-solving environment• Work in a fast-paced agile development environment• Coordinate with different functional teams to implement models and monitor outcomes• Work with stakeholders throughout the organization to identify opportunities for leveraging organisationdata and apply Predictive Modelling techniques to gain insights across businessfunctions -Operations,Products, Sales, Marketing, HR and Finance teams• Help program and project managers in the design, planning and governance of implementing DataScience solutions
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Bengaluru (Bangalore)
3 - 7 yrs
₹7L - ₹15L / yr
Business Intelligence (BI)
Data modeling
PowerBI
Microsoft SSRS
Microsoft Business Intelligence (MSBI)
+1 more
Hi All
Greetings from CareerNet Technologies !
 
 Its pleasure talking to you.
Please find below the details:
Please find below the details:
Role: Power BI Developer
Company: KOCH (https://www.kochind.com/" target="_blank">https://www.kochind.com)
Type: Permanent (Direct payroll)
Edu: Any Full time Graduates 
Exp : 4+ Yrs
Job Location:  Kundalahalli,Near Brookefield Hospital, Bangalore -560037
And as discussed, PFA the JDs and company details and it's principles.

Job Description: 

  • 3+ years’ experience developing and implementing enterprise-scale reports and dashboards.

  • Proficiency with MS Power BI / SSRS.

  • Knowledge of logical and physical data modeling concepts (relational and dimensional).

  • Understanding of structured query language (SQL).

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Bengaluru (Bangalore)
4 - 10 yrs
₹9L - ₹15L / yr
R Programming
Data Analytics
Predictive modelling
Supply Chain Management (SCM)
SQL
+4 more

The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.

At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.

Candidates will be expected to lead projects across several areas such as

  • Demand forecasting
  • Inventory management
  • Simulation & Mathematical optimization models.
  • Procurement analytics
  • Distribution/Logistics planning
  • Network planning and optimization

 

Qualification and Experience

  • 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
  • Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
  • Hands-on experience in delivery of projects using statistical modelling

Skills / Knowledge

  • Hands on experience in statistical modelling software such as R/ Python and SQL.
  • Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
  • Highly proficient with Excel, PowerPoint and Word applications.
  • APICS-CSCP or PMP certification will be added advantage
  • Strong knowledge of supply chain management
  • Working knowledge on the linear/nonlinear optimization
  • Ability to structure problems through a data driven decision-making process.
  • Excellent project management skills, including time and risk management and project structuring.
  • Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
  • Ability to liaison effectively with multiple stakeholders and functional disciplines.
  • Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.
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Dataweave Pvt Ltd

at Dataweave Pvt Ltd

32 recruiters
Sanket Patil
Posted by Sanket Patil
Bengaluru (Bangalore)
6 - 10 yrs
Best in industry
Machine Learning (ML)
Python
Data Science
Natural Language Processing (NLP)
Deep Learning
+2 more
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.

Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.

How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!

What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.

Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.


We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).


Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.

Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
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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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Pluto Seven Business Solutions Pvt Ltd
Sindhu Narayan
Posted by Sindhu Narayan
Bengaluru (Bangalore)
2 - 7 yrs
₹4L - ₹20L / yr
Statistical Modeling
Data Science
TensorFlow
Python
Machine Learning (ML)
+5 more
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore
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Chennai
7 - 19 yrs
₹10L - ₹26L / yr
Analytics
Statistical Modeling
Marketing Strategy
Job description Role: Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive Designation: Manager/ Senior Manager Career Track: Expert Location: Chennai Role Description/ Responsibilities: The Industry Domain Lead will be responsible for formulating and executing the supply side/ capability build strategy for their industry. He/ she will also be responsible for driving delivery excellence in all engagements in that industry by providing expert support on generating insights and generating a compelling case for action to deliver business impact. The Industry Lead will also support the development and execution of appropriate demand side/ go-to-market strategy for driving revenue growth and penetration into existing/ new accounts. • Develop a well thought out POV on the full spectrum of problems/ opportunities in that industry and analytics solutions/ approaches that are relevant to solving them. Articulate the POV in the form of “Industry Analytics on a Page” constructs that help explain it to stakeholders covering key business challenges, metrics, levers, analytics approaches, methodologies, frameworks, tools/ assets/ solutions and impact. • Understand work done till date in the industry and collate material relevant to developing the POV in the form of case studies and collateral. • Review approaches/ methodologies/ frameworks used across engagements and develop a reference guide that can be used to standardise and drive excellence. • Evaluate tools/ assets/ solutions developed across engagements till date and recommend usage/ updates/ redesign as appropriate. • Drive delivery excellence in all engagements in the industry by active participation/ providing expert support for solving complex business problems. • Develop issue/ hypothesis trees and other relevant problem-solving approaches for addressing the business challenges. • Review and provide critical comments to delivery teams on industry factors that need to be taken into consideration for raising the bar on dashboarding, modelling, solving fuzzy problems and generating insights. • Develop relevant sales/ marketing collateral for supporting the go-to-market strategy for the industry • Track revenue and penetration into existing/ new accounts and formulate supply side approaches to drive growth around recruitment, skill building, certification, refreshes to frameworks, methodologies, tools, assets and solutions • Drive/ support proposal/ RFP response development for opportunities in the industry; support NBD and Account Management teams in sales pursuits in existing accounts • Drive/ support LatentView marketing/ sales events such as roundtables and workshops. Represent LatentView in external events/ conferences to share/ represent our POV on the industry. • Drive LatentView's consulting capability in the industry and anchor / participate actively in consulting engagements. Skill/ Experience Requirements: • Deep knowledge of the business strategy/ analytical models and approaches/ value propositions adopted by leading organizations in the industry. • Excellent understanding of the business drivers/ levers, processes in the industry and how organizations can use analytics for driving business impact. • Sound knowledge of the analytics landscape and maturity spectrum within the industry. Familiarity with the problem solving analytical techniques (math) and modelling/ visualization tools (technology) relevant to the industry. • Conviction and ability to articulate the business impact of moving up the analytics maturity curve to internal audience as well as target clients/ stakeholders. • 8+ years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data/ analytics-based decision-making framework. • Exceptional problem solving, analytical, communication and inter personal skills.
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Data ToBiz

at Data ToBiz

2 recruiters
Ankush Sharma
Posted by Ankush Sharma
Chandigarh
2 - 5 yrs
₹4L - ₹6L / yr
Algorithms
ETL
Python
Machine Learning (ML)
Deep Learning
+3 more
Job Summary DataToBiz is an AI and Data Analytics Services startup. We are a team of young and dynamic professionals looking for an exceptional data scientist to join our team in Chandigarh. We are trying to solve some very exciting business challenges by applying cutting-edge Machine Learning and Deep Learning Technology. Being a consulting and services startup we are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning. The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data. Responsibilities and Duties As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning. One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team. Ensure that the analytical plan aligns with the customer’s overall strategic need. Understand and identify appropriate data sources required for solving the business problem at hand. Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods. Execute project plan to meet requirements and timelines. Identify success metrics and monitor them to ensure high-quality output for the client. Deliver production-ready models that can be deployed in the production system. Create relevant output documents, as required – power point deck/ excel files, data frames etc. Overall project management - Creating a project plan and timelines for the project and obtain sign-off. Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner. Identify and evangelize new and upcoming analytical trends in the market within the organization. Implementing the applications of these algorithms/methods/techniques in R/Python Required Experience, Skills and Qualifications 3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics. 2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK. Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language. Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS. Strong foundation in Algorithms and Data Science theory. Strong verbal and written communication skills with other developers and business client Knowledge of Telecom and/or FinTech Domain is a plus.
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platoWorks

at platoWorks

1 video
1 recruiter
Manik Gupta
Posted by Manik Gupta
NCR (Delhi | Gurgaon | Noida)
0 - 3 yrs
₹4L - ₹5L / yr
portfolio management
investment research
Statistical Modeling
Statistical Analysis
monetary Policies
If interested, fill the Google form: Investment Research Analyst: https://goo.gl/forms/M0qTJRDoEM5hNRim2 Roles and Responsibilities Closely monitor and analyse market trends, historical data and earning prospects across different portfolios Formulate potential investment strategies and advise both internal investment team and external clientele Develop complex financial and statistical models to derive reports and potentially diversify investments Regularly update learnings in the fast changing environment Keep Up-to-date with regulatory and monitory policies across the globe that can potentially impact market dynamics Education & Experience BSC/MSC/MBA in Mathematics, Statistics, Economics, Accounting or related field 0-2 Years experience as an investment analyst or related profile Skills Great attention to detail Excellent problem solving skills Excellent quantitative and qualitative abilities Strong analytical skills Great with numbers Basic knowledge of macroeconomics aggregates and regression analysis Good Knowledge of Microsoft Excel, Word & Powerpoint Strong oral and written communication skills
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