Senior Data Scientist

Senior Data Scientist – Tubi Join to apply for the Senior Data Scientist role at Tubi. 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. About the Role: Tubi is transforming the future of television with a vast library of free, premium content supported by advertising. We’re seeking a curious, strategic, and technically strong Senior Data Scientist to join our growing Data Science team—specifically supporting our Content function. In this high‑impact role, you’ll help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data. As a Senior Data Scientist at Tubi, you’ll lead end‑to‑end analytical projects that shape what our viewers see and how they experience our platform. You’ll work at the intersection of content strategy, product, marketing, and monetization, bringing a rigorous experimentation mindset and technical expertise to our most critical initiatives. Your work will be crucial in expanding our audience, optimizing our content library, and developing data‑driven frameworks that scale with the business. You’ll collaborate cross‑functionally with content strategy, data engineering, product managers, and executives—ensuring that data and experimentation are deeply embedded in how we choose, evaluate, and present content. This is an exciting opportunity for someone passionate about streaming, thrives in ambiguity, and wants to influence the future of TV through data. What You’ll Do Design, execute, and analyze A/B tests and quasi‑experiments that inform content acquisition, placement, and personalization strategies. Apply statistical rigor and causal inference methods to evaluate content performance and viewer engagement at scale. Work with large, complex datasets using SQL, Python, and Spark to uncover actionable insights that drive strategic content decisions. Develop and maintain dashboards, data products, and visualizations that translate data into clear business recommendations. Partner closely with cross‑functional stakeholders to influence decisions with thoughtful, transparent, and evidence‑based insights. Collaborate with Data Engineering and ML Ops to improve data pipelines, feature engineering, and automation across experimentation workflows. Serve as a thought partner across teams, advocating for best practices in experimentation, measurement, and data strategy. Your Background 8+ years of experience in a data science, analytics, or quantitative research role, ideally in a consumer technology or media company. Advanced proficiency in SQL, Python, and Spark, with hands‑on experience managing and analyzing large‑scale, event‑level data. Deep understanding of A/B testing, experimental design, and causal inference methodologies. Proven ability to translate data into compelling stories and recommendations for non‑technical audiences. Experience with product analytics, content performance measurement, or personalization systems is a plus. Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, or a related field. Experience in video streaming, entertainment, or ad‑supported media is highly preferred. Compensation & Benefits Pay range is listed annually, dependent on education, skills, experience, and location: United States (high‑cost labor markets such as Los Angeles, New York City, San Francisco): $151,800–$216,800 USD Toronto, Ontario, Canada: $110,800–$158,300 CAD We also offer an annual discretionary bonus, a 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. For U.S. employees, benefits include flexible time off, generous parental leave, monthly wellness reimbursement, and more. Company Information Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Entertainment Providers Equal Opportunity Employment 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. #J-18808-Ljbffr