Data Scientist

About the Role:

At Tubi, we are looking for curious and enthusiastic Data Scientists to join our growing team and help shape the future of ad-supported streaming. As a Data Scientist, you will play a key role in driving data-informed decisions across Product, Engineering, Content, Marketing, and Revenue teams, supporting the company’s most cutting-edge initiatives. Your work will help grow our viewer base, enhance user experiences, and develop best-in-class data and experimentation tools.

As a Data Scientist at Tubi, you will lead diverse projects, designing and analyzing opportunities, improving statistical rigor, and advancing our technical infrastructure to accelerate innovation. You will collaborate closely with cross-functional teams, ensuring that data is at the heart of every major decision. Supported by a close-knit team of Data Scientists, you’ll have the opportunity to drive projects end-to-end—from ideation to implementation. Your insights and recommendations will have a direct impact on Tubi’s growth, making this an exciting opportunity for those passionate about leveraging data to shape the future of streaming.

What You’ll Do:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
• Create and manage dashboards and visualizations, delivering actionable insights to stakeholders and enabling data-informed decision-making
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions
• Ensure statistical rigor, metric alignment, transparency, and effectiveness in Tubi’s decision-making processes
• Design, evaluate, and refine experimentation frameworks, including pre-test planning, in-flight monitoring, and post-experiment analysis
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Join forces with Data Engineering to ensure the availability and integrity of data required for analytics, ML ops for deployment, and opportunities for automation

What You Bring:

• 5+ years of work experience in analytics and SQL, Python, Spark, or R
• Expertise in A/B testing, experimental design, and causal inference in a technology-driven environment
• Strong analytical skills with the ability to extract insights from large datasets using statistical methods
• Experience with product analytics and working with event-level data
• Excellent communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders
• Video streaming industry experience is a plus

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA Compensation

Base ($122,000 to $174,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

Base ($110,000 to $157,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

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