Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 200,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring content from every major Hollywood studio, Tubi gives entertainment fans an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming.

About the Role:

We seek a Senior Data Scientist to play a pivotal role in advancing Tubi's Experimentation platform. You will contribute to the company’s data-driven experimentation process, supporting continuous improvements to the user experience and the organization's strategies. You will be involved in designing, analyzing, and interpreting our testing calendar, which includes A/B, holdout, MMT, and switchback tests. You will advance our technical infrastructure to improve test velocity and statistical rigor. Finally, you will provide insights and recommendations to inform data-driven decisions across all departments.

Responsibilities:

Plan and execute experimentation strategies, fostering a culture of innovation
Enhance statistical rigor, metric alignment, transparency, and effectiveness of Tubi’s experiment frameworks
Research advanced features and methods to add to the experimentation pipeline, aiming to reduce test duration, increase sensitivity, accurately determine sample size, etc
Define and select experiment proxy metrics that align with the company’s North Star objectives
Provide expert evaluation of experiment design, including pre-test planning, in-flight monitoring, and post-experiment analysis for graduation decisions
Collaborate with cross-functional teams to define and execute domain-specific and global holdout tests, measuring the individual and collective impact of the company’s initiatives

Your Background:

Strong technical experience in a data science role, with emphasis on A/B testing and experimentation in a technology-focused organization
Deep knowledge of experimental design, statistical methods, and best practices in A/B testing and causal inference
Advanced proficiency in programming and data manipulation using SQL, Python, and Spark
Strong analytical skills with proficiency in statistical analysis and the ability to derive insights from large datasets
Excellent communication skills with the ability to present complex findings in a structured and transparent manner to non-technical stakeholders

Bonus:

Video streaming industry experience is a plus.

California Compensation

$134,000 to $191,000 / year + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:

For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of the birth, adoption, surrogacy, or foster placement of a child. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.

Senior Data Scientist

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