Principal Data Scientist, AWS Analytics Engineering (AAE)

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

Benefits offered by this job

Health insurance

Job summary

Amazon in Seattle is seeking a Principal Data Scientist for AWS Analytics Engineering to lead the science strategy across AWS Compute, GenAI & Agents, Database & Analytics, and Storage. You will partner with GMs and VPs to translate complex business challenges into innovative scientific solutions and raise the bar for rigor in data science across the team.

You will mentor scientists, shape product analytics, and directly influence AWS product roadmaps and growth strategy through data-driven

Qualifications

• Bachelor's degree in engineering, statistics, computer science, mathematics, or related quantitative field.
• 10+ years of data scientist or similar role with data extraction and modeling experience.
• SQL and Python/R scripting proficiency.
• Experience with deep learning, causal inference, and experimentation systems.
• Proven ability to influence senior leadership.

Responsibilities

• Define the science strategy across AWS services and set technical direction for ML-driven analytics.
• Partner with GMs, VPs, and senior leaders to translate business challenges into scientific solutions.
• Mentor scientists and ensure scientific rigor across the team.
• Communicate insights that influence product roadmaps and growth strategy.

Skills

SQL

Python

R

Deep learning

Causal inference

Data analysis

Leadership

Communication

Experimentation

Education

Master's degree

PhD

Job description

Principal Data Scientist, AWS Analytics Engineering (AAE)

Job ID: 10501433 | Amazon.com Services LLC

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 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. 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.

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. You'll 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. You'll 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. You'll 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 other's 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.

Basic Qualifications

- 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 Qualifications

- 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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits .

Preferred Qualifications

- 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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits .

USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

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