About the job
We are looking for a customer-focused Principal Data Scientist to lead and define the science strategy across AWS services. In this role, you will set the technical direction for ML-driven product analytics across AWS Compute (EC2), GenAI & Agents, Database & Analytics, and Storage (S3) organizations. You will partner directly with GMs, VPs, and senior product leaders to translate complex business challenges into innovative scientific solutions that directly influence AWS's top line and bottom line.
Responsibilities
- Define and drive the multi-year science vision and data science roadmap for AWS product growth analytics across AWS Compute, Database & Analytics, Storage, AI/ML, and other organizations
- Attend AWS WBR to answer critical and timely business and analytics questions to drive clarify on AWS’ product growth strategy
- Influence senior leaders across multiple organizations by building mental models on AWS growth and anticipate growth risks that should be mitigated
- Serve as the technical thought leader and strategic advisor to senior AWS leaders (GM/VP level), translating business objectives into high-impact scientific decisions and identify opportunities that drives overall AWS product and revenue growth
- Establish best practices for decision science, including econometrics, statistical modeling, and causal methods
- Invent, operationalize, and scale novel analytical frameworks and metrics that enable data-driven product growth and executive decision-making
- Mentor junior decision scientists, setting the bar for technical quality through code reviews, design reviews, and hands-on guidance
- Communicate findings, conclusions, and strategic recommendations to both technical and non-technical executive audiences through effective verbal and written communication
- Identify and champion new science opportunities that expand AAE’s impact across AWS, building the case for investment and driving adoption
Qualifications
Minimum
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- 10+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Competency in data querying languages (e.g., SQL) and scripting languages (e.g., Python, R)
- Experience with advanced machine learning techniques including deep learning, causal inference, and experimentation systems
- Experience leading large-scale technical or scientific programs with a proven record of thought leadership and successful delivery
- Track record of influencing senior leadership (Director/VP level) through data-driven insights and strategic recommendations
Preferred
- PhD or Master's degree in Computer Science, Statistics, Machine Learning, Economics, Operations Research, or a related quantitative field
- Knowledge of AWS technology stack or Certification
- Experience with Gen AI, large language models, Baysian, Econometrics, or reinforcement learning in applied settings
- Demonstrated ability to build and mentor high-performing science teams
- Experience establishing measurement frameworks and experimentation systems at scale
- Excellent communication skills with non-technical executive audiences
- Publication experience at top-tier conferences or journals