Position Details
About this role
Lead data science and analytics for a Amazon Music product team, driving experimentation, segmentation, and predictive modeling to improve engagement and retention at scale.
Key Responsibilities
- Lead and mentor data scientists on experimentation and customer analytics
- Translate business questions into actionable science projects
- Deliver experimentation insights and ROIs
- Develop segmentation models and predictive models
- Influence product roadmaps with data-driven insights
Technical Overview
Data querying, scripting, and statistical modeling across large datasets using SQL, Python, R, SAS, Matlab; visualization with AWS QuickSight/Tableau/R Shiny; experience with ML models and experimentation pipelines.
Ideal Candidate
The ideal candidate is a senior data scientist who can own analytics and modeling for growth and retention in a media product, with strong SQL/Python/R/SAS/Matlab proficiency, hands-on ML modeling, and the ability to lead data science initiatives across cross-functional teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree required, 5+ years of relevant experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile