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Job Title: Senior Data Scientist
Job Location: Bangalore, Chennai and Hyderabad
Job Description
❖ The team member will be a part of the Artificial Intelligence and Machine Learning,
Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced
environment.
❖ They will be enabling clients to discover how they can leverage their data using
advanced and sophisticated AI/ML algorithms.
❖ Data Scientists in the AIML-ADM team should have the capability to work on
independent statistical and machine learning research/ projects.
Responsibilities
- Ability to understand a problem statement and implement analytical solutions &
techniques independently with independently/proactively/thought-leadership.
- Team management and strong stakeholder management skills
- Leadership skills to manage a span of Data Scientists
- Work with stakeholders throughout the organization to identify opportunities for
leveraging company/client data to drive business solutions.
- Fast learner: ability to learn and pick up a new language/tool/ platform quickly.
- Conceptualize, design, and deliver high-quality solutions and insightful analysis.
- Conduct research and prototyping innovations; data and requirements gathering;
solution scoping and architecture; consulting clients and clients facing teams on
advanced statistical and machine learning problems.
- Collaborate and Coordinate with different functional teams (engineering and
product development) to implement models and monitor outcomes.
- Ability to deliver AIML based solutions around a host of domains and problems, with
some of them being Customer Segmentation & Targeting, Propensity Modelling,
Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems,
Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
Qualifications
REQUIRED QUALIFICATIONS:
- 5.6-11 years in core Data Science & Machine Learning projects
- Expert level proficiency in at least one of R and Python.
- Ability to create efficient solutions to complex problems. Strong skills in datastructures and ML algorithms.
- Experience of working on end-to-end data science pipeline: problem scoping, data
gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
- Problem-solving: Ability to break the problem into small parts and applying relevant
techniques to drive 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 daily.
- We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time
series modelling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep
learning etc. on a regular basis. If you know few of them, you are good to go.
Preferred Qualifications
- Experience in one of the upcoming technologies like deep learning, NLP, image
processing, recommender systems
- Experience of working in on one or more domains:
- CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply
chain management
- BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
- Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
- Experience in working with Linux computing environment and use of command line
tools like sed/awk
- Good grasp on databases including RDBMS, NoSQL, MongoDB etc.
Education
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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