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Netflix

Data Science Manager, Measurement - Ads DSE

Reposted 18 Days Ago
Remote
Hiring Remotely in USA
480K-750K Annually
Senior level
Remote
Hiring Remotely in USA
480K-750K Annually
Senior level
Lead the development of first-party measurement solutions, integrate with third-party partners, and ensure high-quality analytics outputs within the ads ecosystem.
The summary above was generated by AI

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0-to-1 space.

We are seeking an experienced Manager, Ads DSE Measurement & Audience Insights to lead the development and delivery of innovative first-party measurement solutions, enable seamless integration with third-party measurement providers, and deliver end-to-end measurement reporting that powers actionable post-campaign insights. Your team will be responsible for defining incrementality design and methodology, drive cross-platform comparability, and ensure the accuracy of our reporting frameworks. This critical role will be responsible for establishing a scientifically rigorous, privacy-forward foundation for campaign impact measurement. 

The ideal candidate will bring a strong track record of partnering with product, engineering, and regional measurement teams to build measurement products that are both technically robust and commercially valuable. Join us and help shape the future of ad measurement through science, experimentation, and productized insights!

Responsibilities 

  • Build, lead, and inspire a high-performing team of data scientists and analytics engineers.

  • Foster strong, collaborative partnerships with key stakeholders across Product, Engineering, and GTM teams.

  • Define and execute a team charter and measurement roadmap that scales with the business—prioritizing high-impact initiatives, product integrations, and standardized post-campaign reporting capabilities.

  • Act as a bridge between technical and commercial teams, bringing deep understanding of the ads ecosystem—including how CTV campaigns are served, measured, and optimized—to shape both product features and go-to-market narratives.

  • Oversee integration and validation of third-party measurement partners, ensuring accuracy, consistency, and interoperability with internal systems while evaluating when first-party solutions provide differentiated value.

  • Ensure the delivery of consistently high-quality, statistically rigorous measurement outputs, including campaign lift results, incrementality experiments, and actionable insights that influence product direction and client strategies.

  • Champion clarity in reporting and visualization, guiding the development of self-serve dashboards, post-campaign wrap reports, and executive summaries that resonate with both technical and non-technical audiences.

The Ideal Candidate 

  • Proven leadership experience with a strong focus on data-as-a-product solutions, including building first-party measurement frameworks, self-serve reporting tools, and actionable insights platforms.

  • Demonstrated tenacity and resilience in driving complex, cross-functional projects—able to navigate challenges, propose innovative solutions, and scale measurement and reporting capabilities that meet diverse business needs.

  • A dual thinker—highly quantitative and capable of translating complex data sets into actionable business insights, while also demonstrating high emotional intelligence (EQ) to act as a trusted product ambassador to internal teams and external business partners.

  • Player-coach mindset—able to develop long-term measurement roadmaps and product strategies, while simultaneously executing hands-on technical tasks and ensuring the team delivers high-quality, impactful outputs.

  • Excellent communicator, able to build relationships, communicate technical and non-technical information clearly, write detailed reports, and deliver compelling presentations to internal and external partners.

  • Business-minded with the ability to translate strategic objectives into actionable analyses, and use those insights to drive data-driven recommendations that optimize product offerings and advertising effectiveness.

  • A passion for TV and movies, and defining the future of entertainment.


Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Top Skills

Machine Learning

Netflix Los Angeles, California, USA Office

5808 W Sunset Blvd, Los Angeles, CA, United States, 90028

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