Applied Scientist II, Grocery, Retail & In-Store Experience (GRAISE)
BengaluruFull-time2–5 yrsPosted 4 weeks ago
Mid-level data science role at Amazon in Bengaluru. Needs 2+ years.
About the role
The GRAISE team (Grocery, Retail & In-Store Experience) within World Wide Grocery Store Tech (WWGST) builds foundational AI and machine learning systems that power Amazon's in-store grocery technologies. We develop domain-specific models that solve uniquely complex challenges in grocery — from smart shopping carts and inventory intelligence to personalization and store operations.
What you'll do
- As an Applied Scientist on the GRAISE team, you'll spend your days analyzing model performance from overnight experiments
- Present findings to product and business stakeholders, translating technical results into actionable recommendations
- Work closely with engineering, product, and business teams to turn complex technical challenges into production-ready solutions
- Bring scientific rigor to every stage — from data analysis and model design to evaluation and iteration
- Design, train, and evaluate computer vision and machine learning models for complex grocery-domain problems including product identification, shelf perception
What you need
- Machine learning
- Python
- Statistics
- Computer vision
- C++
- Java
Good to have
- Deep learning
- Prototyping
- ETL