Data Scientist

About the role

The Tubi Builder’s Program is designed for early-career professionals in Product, Engineering, Machine Learning, Design, and Data Science who are passionate about building products that impact millions of users. Over the course of the program, Data Scientists will rotate through multiple teams, gaining experience in data science, business strategy, and enabling data-driven decision-making.

As a Data Scientist, you will work closely with product managers, engineers, designers, and business stakeholders to evaluate opportunities, prioritize investments, and drive execution. You’ll gain exposure to at least three different domains while building core skills in data analysis, model building, and stakeholder management.

This program is ideal for individuals with a strong analytical mindset, a passion for building data products, and the ability to think critically about data, business, and user experience.

Responsibilities

• Solve a wide array of challenging problems using different analytical and statistical approaches


• Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products


• Create and manage dashboards and visualizations, deliver actionable insights to stakeholders, and enable data-informed decision-making


• Partner with Product, Engineering, and cross-functional teams to inform, influence, and support investment decisions


• Ensure statistical rigor, metric alignment, and transparency


• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

Qualifications

Minimum Requirements:

• Proficiency in SQL with hands-on experience managing and analyzing large-scale, event-level data


• Strong analytical skills with the ability to extract insights from large datasets using statistical methods


• Strong communication skills with comfort conveying complex findings to non-technical stakeholders


• A strong drive to take on new challenges, experiment with new ideas, and continuously learn, whether through academic projects, internships, or self-driven initiatives

Preferred Qualifications:

• Work Experience: Up to three years of combined professional experience, including internships


• Prior experience in A/B testing, experimental design, and causal inference


• Experience or knowledge of product analytics and working with event-level data


• Experience working in a startup or fast-paced environment

Program Eligibility Requirements:

• GPA Requirement: Minimum 3.0 GPA.


• Application Deadline: February 15, 2026


• Program Timeline: Minimum 18 month commitment, starting Aug 2026, after which successful participants will transition into non-rotational full-time roles


• Work Schedule: Full-time, hybrid in San Francisco with office day requirements


• Work Authorization: Must have U.S. work authorization; we are unable to sponsor visas for this program


• Committed and available to work for the entire 18-month length of the program

About the Program:

Our Tubi Builder’s Program is structured to accelerate the careers of future data science leaders by providing them with hands-on experience across multiple product domains. Through structured rotations, mentorship, and executive exposure, Builders gain strategic experience, preparing them for a full-time product management role.

By the end of the program, you will:

• Have experience across multiple product teams and business challenges


• Develop a strong foundation in data science


• Build relationships with mentors, executives, and fellow Tubi Builders

#LI-Hybrid #LI-CN1

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 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.

High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco

$130,000 - $135,000 USD

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 birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. 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.

About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.