Data Scientist

Summary

Join Tubi's growing data science team and help shape the future of ad-supported streaming. As a Data Scientist, you will drive data-informed decisions across various teams, contributing to viewer growth and enhanced user experiences. You will lead diverse projects, design analyses, improve statistical rigor, and collaborate with cross-functional teams. Your work will involve creating dashboards, visualizations, and refining experimentation frameworks. This role offers the opportunity to drive projects from ideation to implementation, directly impacting Tubi's growth. The position requires significant experience in data analysis and A/B testing, along with strong communication skills.

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
• Strong analytical skills with the ability to extract insights from large datasets using statistical methods
• Experience with product analytics and working with event-level data
• Excellent communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders

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

Preferred Qualifications

Video streaming industry experience

Benefits

• Annual discretionary bonus
• Long-term incentive plan
• Medical/dental/vision insurance
• 401(k) plan
• Paid time off
• Flexible Time off Policy
• 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
• Monthly wellness reimbursement