About Flipkart:

Flipkart is committed to empowering Indian consumers through technology and commerce. With over 350 million customers and 150 million+ products across 80+ categories, Flipkart drives sustainable growth by supporting MSMEs and entrepreneurs. It is part of the Walmart-owned Flipkart Group, which includes Myntra, Cleartrip, and Flipkart Health+.

About the Role:

As a Data Scientist specializing in Operations Research, you’ll be responsible for creating optimization and machine learning models to solve high-impact supply chain problems. Your insights and solutions will drive efficiency, reduce costs, and enhance customer experience across Flipkart’s logistics network.

About the Team:

The Data Science team works on strategic problems in Flipkart’s supply chain including:

• Network and capacity planning
• Warehouse and inventory optimization
• Last-mile delivery improvements

Responsibilities:

• Understand product and business problems and apply OR and ML techniques.
• Build scalable optimization models and algorithms.
• Collaborate with stakeholders to define problems and communicate insights.
• Conduct applied research with potential for publication.

Key Technical Skills (Must-have):

Operations Research, Optimization, Machine Learning, Communication Skills

Requirements:

• B.Tech / M.Tech / PhD in CS, OR, or related fields.
• Coursework in Mathematical Optimization.
• Experience building and tuning optimization models and solvers (CPLEX, Gurobi).
• Hands-on in developing algorithms like metaheuristics, greedy search, decomposition methods.
• Familiarity with ML models and statistics.
• Proficiency in Python or R.
• Strong communication and analytical skills.

Why Work With Flipkart?

• Opportunity to solve impactful problems that affect millions.
• Work with a diverse and brilliant team.
• Enjoy flexible policies and an inclusive culture.
• Encouragement to innovate, learn, and grow.

Diversity & Inclusion Statement:

Flipkart is an equal opportunity employer, celebrating diversity and creating an inclusive work environment for all individuals regardless of their identity, background, or characteristics.