This role contributes to the foundational science and analytics capabilities used by Product, Finance, Marketing, Advertising, and Engineering teams to make high-quality business decisions. You will design, develop, and operationalize data science solutions supporting Fire TV customer engagement and retention, lifecycle analytics, Ads monetization, experimentation, and AI-enabled analytics.

This role is appropriate for a scientist who can independently own data science workstreams, partner effectively across technical and business teams, and deliver high-quality solutions with minimal guidance. The ideal candidate combines strong quantitative fundamentals with practical experience applying machine learning and statistical methods to real-world business problems. Successful scientists in this role deliver trusted models and analyses, improve measurement quality, communicate findings clearly to technical and non-technical audiences, and help the business move faster through data-driven insight.

Key job responsibilities

- Design, develop, validate, and maintain machine learning models, statistical analyses, and decision frameworks supporting one or more of the following pillars: Fire TV engagement, lifecycle analytics, ads monetization, and Appstore performance

- Independently own data science workstreams with guidance on ambiguous or high-impact decisions. Deliver analyses and models from problem definition through validation and handoff, partnering with senior scientists and stakeholders as needed

- Build and refine customer segmentation and clustering frameworks that enable personalized marketing and engagement strategies

- Contribute to the design of A/B experiments and analyses; develop power analyses, define guardrail and success metrics, and interpret results to inform product decisions

- Partner with Business Intelligence Engineers, Data Engineers, Product, Finance, and Marketing stakeholders to translate business questions into rigorous analytical frameworks

- Identify and close measurement gaps - including coverage gaps in customer attribution, engagement, and conversion - and advocate for better instrumentation upstream

- Communicate findings clearly and accurately to both technical and non-technical audiences; write rigorous technical documents and present results with appropriate caveats

- Contribute to DS best practices including reproducibility, code quality, documentation, and model validation standards

- Mentor junior data scientists and analysts on methodology, tool usage, and analytical approach

BASIC QUALIFICATIONS

- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- Experience applying theoretical models in an applied environment

- 2+ years of data scientist experience

- Bachelor's degree

PREFERRED QUALIFICATIONS

- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Experience in A/B testing

- Experience working on multi-team, cross-disciplinary projects

- Experience applying quantitative analysis to solve business problems and making data-driven business decisions

- Experience with AI/ML technologies

- Experience effectively communicating complex concepts through written and verbal communication

- Experience with clustering, propensity modeling, time series modeling, or demand forecasting

- Experience mentoring or providing technical guidance to junior scientists or analysts

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, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually

USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually