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# Sr. Data Scientist, Prime Video

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $159,200.0 - $215,300.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Mining, Query Languages, R (Programming Language), Python (Programming Language), Logistic Regression, MATLAB, Machine Learning, Mathematical Software, SAS (Software), SQL Databases, Scripting, Data Analytics, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10526438/sr-data-scientist-prime-video

## About the Role

The ideal candidate brings strong problem-solving skills, stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. You will build cross-functional support within Prime Video, assess business problems, define metrics, and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps., 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

 - 4+ years of data scientist experience
 - Bachelor's degree
 - Experience with statistical models e.g. multinomial logistic regression, 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
 - Experience managing data pipelines
 - Experience as a leader and mentor on a data science team

## Description

Use advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets

 - Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
 - Support scalable, self-service data analyses by building datasets for analytics, reporting and ML use cases
 - Partner with product stakeholders and senior science peers to identify strategic data-driven opportunities to improve the customer experience
 - Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
 - Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization


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