Applied Scientist — Causal ML Pricing at Scale

Amazon is seeking an Applied Scientist on the P2OS team in Seattle to own causal inference for pricing experimentation. You will build end-to-end causal ML pipelines, focus on heterogeneous treatment effects, and deliver production-ready tooling that economists can use without ML expertise.

The role emphasizes shipping causal pipelines with real business impact, measuring changes in LTV estimates and pricing errors.

The following opportunity is for a Applied Scientist — Causal ML for Pricing at Scale with Amazon Inc.

We are seeking a motivated Applied Scientist — Causal ML for Pricing at Scale to join Amazon Inc. in Seattle, WA, United States.

Consider building your career as a Applied Scientist — Causal ML for Pricing at Scale at Amazon Inc.

The Applied Scientist — Causal ML for Pricing at Scale position in the IT & Technology, Other field is open for applications.