A
Not Specified Permanent

Bellevue, Washington · USA job

Applied Science Manager, CBA

Amazon

Bellevue, Washington

Job description

Overview

As Manager in CFV, you will lead a cross-disciplinary team to advance causal inference and sequence modeling for year-ahead customer value. You'll shape multi-year research and product agendas and partner with senior scientists, product owners, and engineers to translate methodological work into production systems that inform launch decisions. You will drive experiments, leverage transformer-based representations, and scale metrics across Amazon's Retail, Ads, Marketing, and Selection. This is a mission-driven role at the intersection of measurement, optimization, and business impact.

Compensation / Benefits
  • health insurance
  • 401(k) matching
  • paid time off
  • parential leave
  • RSUs and sign-on payments
  • comprehensive benefits
Responsibilities
  • Lead Applied Scientists, Economists, and Data Scientists across causal inference, sequence modeling, and experimentation
  • Set multi-year research and product agendas in collaboration with senior stakeholders
  • Translate methodological advances into production-ready systems that influence launch and investment decisions
  • Oversee development of transformer-based representations and learned customer behavior models
  • Collaborate with an engineering team to deploy scalable measurement infrastructure
  • Balance short-term profitability with long-term growth through data-driven decision making
  • Manage ambiguity and make judicious build-vs-buy decisions
  • Represent CFV in cross-functional partnerships with business leaders and product owners
Key requirements
  • 3+ years of management experience in science or ML engineering
  • PhD, or Master's degree
  • Knowledge of machine learning approaches and algorithms
  • leadership and team management
  • judgment in invention vs reuse
  • strong collaboration with cross-functional partners
  • causal inference
  • sequence modeling
  • transformer-based models

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