Principal Data Scientist – Product Growth Analytics

Amazon Science; Seattle (WA); On-site; USD 189,000 - 256,000; Full time

Job summary

Amazon Science is seeking a Principal Data Scientist to define the multi-year science strategy for AWS product growth analytics and to translate complex business challenges into innovative ML solutions. You will partner with senior leaders to drive product and revenue growth while mentoring scientists and shaping data-driven decision-making across EC2, GenAI, Databases, Analytics, and S3 teams.

You will lead the development of advanced analytics, econometrics, and forecasting methods, while

Qualifications

• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field.
• 10+ years of data scientist experience involving data extraction, analysis, and statistical modeling and communication.
• 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.

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

Skills

SQL

Python

R

Deep learning

Causal inference

Experimentation

Leadership

Stakeholder management

Education

PhD or Master’s degree

Job description

Amazon Science is seeking a Principal Data Scientist to define the multi-year science strategy for AWS product growth analytics and to translate complex business challenges into innovative ML solutions. You will partner with senior leaders to drive product and revenue growth while mentoring scientists and shaping data-driven decision-making across EC2, GenAI, Databases, Analytics, and S3 teams.

You will lead the development of advanced analytics, econometrics, and forecasting methods, while