STAFF, DATA SCIENTIST
Walmart Inc. (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 30–60 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and deliver a specific, complex merchandising data science problem end-to-end, from business question to a stable, improving production system.
- Design and implement either automated decision engines or decision support tools tailored to merchandising challenges such as price elasticity estimation, seasonal demand forecasting, or constrained inventory flow.
- Define success metrics, lead experimentation, and create reusable methods and documentation to ensure continuous improvement beyond personal involvement.
Minimum Requirements
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related field plus 4 years analytics experience OR Master's degree plus 2 years analytics experience OR 6 years analytics or related experience.
- Demonstrated experience shipping production systems in merchandising, retail, or supply chain data science, especially in price elasticity estimation, forecasting, constrained planning, or assortment optimization.
- Strong expertise in optimization methods (mathematical programming, heuristics, simulation) and applied machine learning/forecasting/causal inference.
- Location requirement: Based in Bangalore office with flexibility for personal life management.
Ideal Candidate Profile
- Experience solving very focused, high-impact merchandising or retail problems with measurable business improvement, not just generic domain expertise.
- Ability to influence and elevate peers by establishing standards, mentoring, and producing reusable solutions rather than managing people directly.
- Comfort and judgment applying hybrid statistical and optimization methods to either automate decisions or enable human decision makers effectively, and iterating through adoption and validation.