Causal ML Scientist, Pricing & Production Impact

Amazon Inc.; Seattle (WA); Vor Ort; USD 143.000 - 193.000; Vollzeit

Zusammenfassung

Amazon.com Services LLC is seeking an Applied Scientist to own causal inference at the intersection of ML and pricing experimentation. You will build end-to-end causal estimation models for pricing, design analysis workflows for weblabs and A/B tests, and develop reusable causal ML infrastructure for a broader team.

The role emphasizes shipping production-quality causal pipelines with real business impact, measuring success by changes in LTV estimates and pricing errors avoided.

Qualifikationen

• PhD or Master’s degree with 4+ years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel/distributed computing.

Aufgaben

• Build causal ML pipelines for pricing — design, train, evaluate, and deploy end-to-end causal estimation models.
• Own the science on heterogeneous treatment effects and methodology tradeoffs between econometric and ML approaches.
• Support pricing experiment analysis and build reusable tooling for economists.

Kenntnisse

PhD/MA + 4+ yrs exp

Java/C++/Python

ML algorithms

Parallel computing

Ausbildung

PhD or Master's in CS/CE/ML

Tools

Unix/Linux

Jobbeschreibung

Amazon.com Services LLC is seeking an Applied Scientist to own causal inference at the intersection of ML and pricing experimentation. You will build end-to-end causal estimation models for pricing, design analysis workflows for weblabs and A/B tests, and develop reusable causal ML infrastructure for a broader team.

The role emphasizes shipping production-quality causal pipelines with real business impact, measuring success by changes in LTV estimates and pricing errors avoided.