Job Summary
We are looking for a Lead Data Scientist with 8+ years of experience to head a team of applied scientists working on the quantitative problems that sit at the heart of retail operations. This is a hands-on leadership role for someone who can both set technical direction — spanning statistics, optimization, and machine learning — and stay close enough to the work to review a model, question an assumption, or unblock a stuck analysis.
You will lead and grow a team of data scientists, set the technical roadmap for demand forecasting, price elasticity, and related pricing and planning models, and work closely with product, engineering, and operations leadership to turn quantitative insight into decisions retailers can act on.
Key Responsibilities
Team Leadership & People Management
Lead, mentor, and grow a team of data scientists — setting technical direction, reviewing modeling approaches, and raising the bar on statistical rigor across the team.
Own hiring, performance management, and career development for team members,



building a group where both scientific depth and practical delivery are valued.
Prioritize and sequence the team's roadmap against business impact, balancing long-term research investments against near-term delivery commitments.
Act as the technical escalation point for the team's hardest modeling and statistical problems.
Demand Forecasting & Price Elasticity
Own the technical strategy for demand forecasting and price elasticity modeling — the highest-priority quantitative use cases for the business — ensuring accuracy holds up under real-world variability.
Develop and oversee hierarchical and probabilistic forecasting models that capture seasonality, trend, and structural shifts across store, SKU, and category levels.
Guide the design of price elasticity and demand-response models that inform pricing, promotion, and markdown decisions, accounting for cross-item cannibalization and substitution effects.
Ensure models remain reliable throu

📌 Lead Data Scientist (Bhubaneswar)
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📍 Bhubaneswar