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 data-structures and ML algorithms.
Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.

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Senior Data Scientist

Job Description

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