Principal Data Scientist, AWS Analytics Engineering (AAE)

Do you want to define the multi-year science vision that transforms how millions of customers experience AWS products Do you want to influence the AWS investment in Cloud and AI technology and see how your recommendations influencing AWS VP level decisions and driving the growth of AWS business Do you want to push the boundaries of data science (e.g. statistical modeling causal inference econometrics product growth analytics and forecasting models) and democratize how AWS senior leaders access analytics insights using agentic analytics system

The AWS Analytics Engineering is at the forefront of leveraging cutting-edge AI/ML technology and infrastructure to redefine how AWS product leaders and teams interact with and derive insights from their product and customer data. Our vision is to use data science methods to enable AWS product teams and business leaders to drive product and revenue growth and create personalized optimized and simplified product experiences to delight our customers.

We are looking for a customer-focused Principal Data Scientist to lead and define the science strategy across AWS 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 AWSs top line and bottom line. You will analyze underlying product growth insights understand product growth drivers and anticipate business risks that need to be surfaced to leadership.

As a Principal Data Scientist you will be the technical thought leader who becomes a thought partner for senior leaders hands on analyzing business trends and customer insights drives cross-organizational decision alignment and raises the bar for scientific rigor across the team. You will operate effectively in ambiguous environments exercise strong business judgment on high-impact decisions have high ownership and deep understanding of AWS business and continuously push the frontier of data science applications at AWS scale.


Key job 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 AAEs impact across AWS building the case for investment and driving adoption


A day in the life
As a Principal Data Scientist in AAE org you will shape the science strategy that underpins product decisions across multiple AWS organizations. Youll spend your time partnering with VPs and GMs to identify the highest-leverage data science opportunities architecting novel ML solutions to complex product challenges and mentoring scientists across the team. Youll drive alignment across cross-functional stakeholders ensure scientific rigor in our most critical initiatives and communicate insights that directly influence AWS product roadmaps and growth strategy. Youll balance long-term vision-setting with hands-on technical leadership diving deep into model architectures and data pipelines when needed.

About the team
We are a team of scientists and engineers supporting AWS product leaders to make high-impact decisions through sophisticated analytical frameworks trusted data science methods and scalable ML products. We come from diverse backgrounds in statistics computer science engineering and business analytics. We specialize in the full end-to-end ML development process including data ingestion ETL model development and model deployment in production. We support data science needs across AWS EC2 Database & Analytics and S3 teams using deep learning graph neural networks forecasting reinforcement learning causal inference and more.

High Impact Projects: We work on high-impact high-visibility projects that directly influence AWS product roadmaps and senior leaders decisions.
Supportive Team Environment: We are proud of our supportive and inclusive team culture we have each others back during ups and downs.
Work-Life Balance: We believe 80% of value comes from 20% of work so we always prioritize our backlog ruthlessly based on business value.
Learning Opportunity: Extensive opportunities to understand AWS business and leverage state-of-the-art AI/ML and cloud technology.


- Bachelors 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

- PhD or Masters 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 189400.00 - 256200.00 USD annually