Job Role: Data Scientist 3 – Ads & Monetization / Pricing Optimization

Experience Required: 5–7 years

Location: Bangalore | Karnataka

About Swiggy And The Team

Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research to shape AI-first systems that directly impact customer experience and business growth. The team values cross-functional collaboration, open sharing of ideas, and continuous innovation to roll out machine learning and AI solutions at scale.

About The Role

As a Data Scientist 3 (DS3), you will act as a Technical Stream Lead within the Ads, Pricing, and Discount Optimization sub-domain. You will take end-to-end ownership of scoping, designing, and delivering complex algorithmic decision engines (typically 2–3 related models or experiments over a quarter).



You will operate with high autonomy—translating open-ended monetization and incentive allocation challenges into mathematical and ML frameworks, balancing ROI trade-offs, and driving unit economics (L0/L1/L2 metrics) while mentoring junior data scientists.

What Qualities Are We Looking For?

Technical Expertise & Problem Formulation

Experience & Ownership: 4–6 years of experience building and deploying scalable decisioning engines, causal models, or algorithmic ad-tech architectures in production.
Problem Formulation: Proven ability to break down open-ended pricing, spend allocation, or ad bidding problems into DS/ML sub-problems, defining appropriate targets, constraints, and objective functions.
Reinforcement Learning & Decision Systems: Hands-on experience with Contextual Bandits, Multi-Armed Bandits (MAB), Markov Decision Processes (MDPs), Q-Learning, Policy Optimization, and Offline Reinforcement Learning for energetic ad allocation and coupon targeting.
Causal Inference & Economics: Deep knowled

📌 Data scientist III (Bengaluru)
🏢 Swiggy
📍 Bengaluru