Job Description

Description

Amazon's third-party marketplace is a multibillion-dollar global ecosystem, connecting customers and sellers across the world through millions of transactions annually. The Seller Fee Science Team integrates economic modeling, machine learning, and artificial intelligence to guide business fee strategy, ensure fees are accurately computed for millions of products, and improves the seller experience with AI tools that support any fee related contact (understanding, audit, and dispute). We build the scientific foundation that empowers sellers to grow their businesses with clarity and confidence.

Our team brings together world-class economists, physicists, mathematicians, and computer scientists to tackle diverse challenging problems that require theoretical rigor and deliver real-world impact. For example, measurement of item dimensions (what are the dimensions of a bag of apples) , large-scale simulation of policy changes (how do marketplace dynamics change when...), Leveraging AI to simplify/document fee policy, resolve disputes,



and provide detailed fee explanations to our sellers (explain how this fee is computed and what can be done to reduce costs).

As a Senior Applied Scientist on our team, this role will lead the application of machine learning and artificial intelligence to predict and reconcile measurement of products globally. This blends together statistical modeling, application of NLP, image processing, classical machine learning, cost-benefit analysis, causal modeling, and optimization. You will partner closely with engineers and product partners to take your solutions from research to production. You will also help to set the team direction, influence partner teams across product and engineering, help establish a solid scientific culture within the team (e.g., publication, seminars, etc.) and grow junior scientists.

We are seeking scientists who are motivated by first principles, disciplined experimentation, and the te

📌 Sr. Applied Scientist, Seller Fee Science (Bengaluru)
🏢 Amazon Filters
📍 Bengaluru