> Markdown version of [/jobs/ext/1972402-data-scientist-prime-video](https://www.wearedevelopers.com/jobs/ext/1972402-data-scientist-prime-video). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist, Prime Video

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Query Languages, Perl (Programming Language), R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, SAS (Software), SQL Databases, Scripting, Data Analytics, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-scientist-prime-video-seattle-wa-usa-58834702

## About the Role

ML use cases * Partner with product stakeholders to identify data-driven opportunities to enhance the customer experience * Communicate findings and recommendations to both technical and non-technical audiences * Stay current with DS tools and practices and evangelize them across the organization Tasks * Master's degree * 3+ years of experience with data querying languages (e.g., SQL) and scripting or statistical software (e.g., Python, R, SAS, Matlab) * 2+ years of data scientist experience * 3+ years of experience with ML/statistical modeling and data analysis techniques * Bachelor's degree * Experience applying theoretical models in an applied environment * Preferred qualification: experience in Python, Perl, or another scripting language * Experience in ML/data science roles at a large technology company Key requirements * health insurance * 401(k) matching * paid time off * RSUs * sign-on payments * parential leave

## Description

Experteer Overview As a Data Scientist on Prime Video's Personalization and Discovery team, you will build data-driven frameworks to understand and improve how recommendations and content discovery work for millions of users. You will work with cross-functional partners to identify strategic opportunities, define metrics, and deploy scalable insights that balance speed with long-term science goals. You'll design end-to-end DS workflows, from data prep to model deployment, and communicate findings to both technical and non-technical stakeholders. This role offers impact across a global product, shaping how customers find and enjoy content across devices. A strong candidate thrives in fast-paced settings and iss Compensation / Benefits * Apply advanced statistical and ML techniques to large-scale data to extract actionable insights * Design and implement end-to-end data science workflows from data acquisition to deployment * Build datasets and enable scalable self-service analytics for ML use cases * Partner with product stakeholders to identify data-driven opportunities to enhance the customer experience * Communicate findings and recommendations to both technical and non-technical audiences * Stay current with DS tools and practices and evangelize them across the organization Tasks * Master's degree * 3+ years of experience with data querying languages (e.g., SQL) and scripting or statistical software (e.g., Python, R, SAS, Matlab) * 2+ years of data scientist experience * 3+ years of experience with ML/statistical modeling and data analysis techniques * Bachelor's degree * Experience applying theoretical models in an applied environment * Preferred qualification: experience in Python, Perl, or another scripting language * Experience in ML/data science roles at a large technology company Key requirements * health insurance * 401(k) matching * paid time off * RSUs * sign-on payments * parential leave


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java)
- [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)