Data Scientist

Tubi•San Francisco, CA

3d•$174,000 - $191,400•Remote

About The Position

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.

Requirements

Master’s degree or foreign equivalent in Computer Science, Engineering, Statistics, or related field.
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 with video streaming industry.

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.