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About the Role
The Data Scientist will use 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 foundational science and analytics capabilities used by various teams to make high-quality business decisions. You will design, develop, and operationalize data science solutions supporting customer engagement, retention, lifecycle analytics, Ads monetization, experimentation, and AI-enabled analytics.
Responsibilities
- Design, develop, validate, and maintain machine learning models, statistical analyses, and decision frameworks supporting Fire TV engagement, lifecycle analytics, ads monetization, and Appstore performance.
- Independently own data science workstreams, delivering analyses and models from problem definition through validation and handoff.
- Build and refine customer segmentation and clustering frameworks for personalized marketing and engagement strategies.
- Contribute to the design of A/B experiments and analyses, including power analyses, metric definition, and result interpretation.
- Partner with stakeholders to translate business questions into analytical frameworks.
- Identify and close measurement gaps in customer attribution, engagement, and conversion.
- Communicate findings clearly to technical and non-technical audiences.
- 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.
Requirements
- 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
- 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques.
- Experience applying theoretical models in an applied environment.
- 2+ years of data scientist experience.
- Bachelor's degree.
Skills
- Machine learning
- Statistical modeling
- Data querying
- SQL
- Python
- R
- SAS
- Matlab
- A/B testing
- Customer segmentation
- Clustering
- Propensity modeling
- Time series modeling
- Demand forecasting
- AI/ML technologies
- Quantitative analysis
- Communication
Location
- USA, CA, Sunnyvale
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- 3+ years
- 2+ years
Education Level
- Bachelor's degree
- PhD in a quantitative field
Salary/Compensations
- 157,300.00 - 212,800.00 USD annually (Sunnyvale, CA)
- 136,000.00 - 184,000.00 USD annually (Seattle, WA)
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
About the Company
- Fire TV is reshaping the way millions of people discover, engage with, and enjoy entertainment every day.
- 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.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
- 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.