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# Data Scientist (L5) - Ads

- **Company:** Netflix, Inc.
- **Location:** Los Gatos, CA, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Machine Learning, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_acfae565e2673988759b2be592c1946d

## About the Role

* Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
 * Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization, and our Hollywood and global partners.
 * You are a player-coach. You can develop roadmaps and strategies, but also execute on technical work and ensure that your team produces consistent high quality outputs.
 * Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
 * Experience building and leading hybrid Data Science and MLE teams in the Ads space.
 * Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations
 * A passion for TV and movies and defining the future of entertainment

## Description

* Apply modeling and machine learning techniques to business problems at the intersection of product and data science
 * Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
 * Proactively perform data exploration on engagement behaviors to discover future opportunities
 * Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale
 * Deliver well-documented datasets, tools, and reports to key technical and business partners
 * Identify, compute and validate the appropriate metrics to measure success in a product area
 * Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
 * Present your research and insights to all levels of the company