CareerPlanSign in

Principal Data Scientist, AWS Analytics Engineering (AAE)

Seattle, Washington, United States💼 Full-time🗓 2026-08-13 → 2026-09-25

Core

Define multi-year science vision and data science roadmap for AWS product growth analytics across Compute, Database, Storage, and AI/ML organizations.

Role type

Principal Data Scientist (Strategy & Technical Thought Leadership)

Builds

ML-driven product analytics frameworks, decision science best practices, and novel analytical metrics for AWS product leaders.

Domain

Cloud Computing / AI & Machine Learning / Product Growth Analytics

Deliverable

production ML models | dashboards & analysis | research

Required skills

statistical modeling, causal inference, econometrics, forecasting, deep learning, experimentation systems, data querying (SQL), scripting (Python/R), technical program leadership, strategic influence

Preferred skills

PhD/Master's in quantitative field, Gen AI/LLM experience, Bayesian methods, reinforcement learning, team mentorship, measurement framework design, top-tier publication record

Technologies

AWS technology stack, deep learning, graph neural networks, reinforcement learning

Responsibilities

Define science strategy and roadmap, partner with GMs/VPs on growth strategy, establish decision science best practices, mentor junior scientists, communicate strategic recommendations to executives, architect novel ML solutions.

Seniority

Principal, strategy & mentorship

Sourced via amazon · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.