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About the Role

Work with large and complex data sets to solve challenging problems using analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and data presentation to develop product strategies. 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 decision-making processes. Design, evaluate, and refine experimentation frameworks. Define, understand, and test opportunities to improve the product and drive roadmaps. Collaborate with Data Engineering and ML ops for data integrity, deployment, and automation.

Responsibilities

• 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.

Requirements

• Three (3) years of experience in the position offered or related occupation.
• Experience with analytics and SQL, Python, and Spark.
• Experience with A/B testing, experimental design, and causal inference in a technology-driven environment.
• Experience extracting insights from large datasets using statistical methods.
• Experience with product analytics and working with event-level data.
• Experience in the video streaming industry.

Skills

• analytics
• SQL
• Python
• Spark
• A/B testing
• experimental design
• causal inference
• statistical methods
• product analytics
• event-level data

Location

• San Francisco, California

Work Type

• Telecommuting permitted pursuant to company policy
• High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco

Experience Level

• Three (3) years of experience

Education Level

• Master’s degree or foreign equivalent in Computer Science, Engineering, Statistics, or related field.

Salary/Compensations

• $174,000 – 191,400 per year
• $174,000—$191,400 USD

Benefits

• Annual discretionary bonus
• Medical/dental/vision
• Insurance
• 401(k) plan
• Paid time off
• Flexible Time off Policy
• Generous Parental Leave Program (twelve (12) weeks of paid bonding leave)
• Monthly wellness reimbursement

About the Company

• 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.
• Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits.

Equal Opportunity

• 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.