Data Scientist

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

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 275,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate fanbase and over 97 million monthly active viewers, the company is committed to putting viewers first with free, accessible entertainment for all.

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.

Requirements

• 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

Responsibilities

• 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.