Data Scientist, Fire TV

Fire TV is reshaping the way millions of people discover, engage with, and enjoy entertainment every day. The Fire TV, Advertising and Appstore Decision Science organization is looking for a Data Scientist who is passionate about using data to surface customer insights that will influence the development of new and improved customer experiences across the Fire TV organization.

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

• About the team
• The FAA Decision Science team turns trusted insights into business actions that accelerate growth, improve customer experiences, and optimize engagement and monetization across Fire TV, Advertising, and Appstore. We operationalize insights into scalable decision systems through durable data products, advanced modeling, automation, and AI-enabled workflows. Our team is comprised of Data Engineers, Business Intelligence Engineers, Data Scientists, and Product Managers who take pride in building reliable, trustworthy data products that empower our stakeholders to make data-driven decisions. We encourage scientists who are curious about the business, care deeply about data quality, and want to grow their craft in a collaborative, high-ownership environment.

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

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 .

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