Data Scientist, Fire TV: ML for Engagement & Ads (RSUs)

Amazon Science; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Seattle is seeking a Data Scientist to surface customer insights that influence Fire TV experiences, engagement, and monetization across Fire TV, Ads, and Appstore. You will design, develop, and operationalize data science solutions, owning workstreams and collaborating with multiple teams to deliver high-quality models and analyses.

The ideal candidate combines strong quantitative fundamentals with practical ML experience, communicates clearly to technical and non-technical

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

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

Skills

SQL

Python

R/SAS/Matlab

Machine learning

Statistical modeling

Experimentation

Education

Bachelor's degree

Tools

A/B testing

Job description

Amazon Science in Seattle is seeking a Data Scientist to surface customer insights that influence Fire TV experiences, engagement, and monetization across Fire TV, Ads, and Appstore. You will design, develop, and operationalize data science solutions, owning workstreams and collaborating with multiple teams to deliver high-quality models and analyses.

The ideal candidate combines strong quantitative fundamentals with practical ML experience, communicates clearly to technical and non-technical