Principal Data Scientist, Product Growth Analytics

Socket.dev; Seattle (WA); On-site; USD 189,000 - 256,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Seattle is seeking a Principal Data Scientist to define the science strategy for ML-driven product analytics across AWS services, partnering with GMs and VPs to translate business challenges into innovative scientific solutions that impact product growth and revenue.

You will shape technical direction, articulate insights to executives, and drive cross-organizational alignment while mentoring a team of decision scientists and advancing rigor in data science at scale.

Qualifications

• 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

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 clarity 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 drive 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

Data analysis

SQL

Python

R

Leadership

Communication

Econometrics

Experimentation

Causal inference

Product analytics

Education

Bachelor's degree in engineering, statistics, computer science, mathematics

PhD or Master's degree in Computer Science, Statistics, Machine Learning, Economics, Operations Research, or related field

Job description

Amazon in Seattle is seeking a Principal Data Scientist to define the science strategy for ML-driven product analytics across AWS services, partnering with GMs and VPs to translate business challenges into innovative scientific solutions that impact product growth and revenue.

You will shape technical direction, articulate insights to executives, and drive cross-organizational alignment while mentoring a team of decision scientists and advancing rigor in data science at scale.