Data Scientist, Fire TV

Job :  |  Services LLC

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.

• 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 work streams 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.

• 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

• 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…