Tubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the world’s stories, Tubi offers the largest collection of on-demand content, including over 250,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate fanbase and over 80 million monthly active viewers, the company is committed to putting viewers first with free, accessible entertainment for all.

About the Role: 

Tubi's ambitious Discovery & AI team is seeking two Data Scientists. These roles require cross-functional collaboration across Product, Engineering, Content, and Data to support the company’s most cutting-edge initiatives. You will improve user experiences for both new and returning users by applying ML and AI. You will lead a diverse set of projects, providing insights and recommendations to inform data-driven decisions that drive our recommender systems. You will have a valued voice in the future of our personalization platforms.

Responsibilities:

• Apply statistical rigor, metric alignment, transparency, and effectiveness to Tubi’s decision-making process
• Help the Machine Learning team refine their recommendation models to elevate user experiences
• Identify the best strategies to optimize the experiences of new and returning users
• Evaluate experiment designs, including pre-test planning, in-flight monitoring, and post-experiment analysis for graduation decisions
• Collaborate with cross-functional teams to build pipelines and tools and make business-impacting decisions

Your Background:

• Strong technical experience in a Data Science role, emphasizing user journey initiatives, recommendations, and personalization
• Experience with product analytics and working with event-level data
• Advanced proficiency in programming and data manipulation using SQL, Python, and/or Spark
• Strong analytical skills with proficiency in statistical analysis and the ability to derive insights from large datasets
• Excellent communication, presentation, and collaboration skills
• Ability to present complex findings in a structured and transparent manner 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

#LI-MQ1 #LI-Remote

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.