Data Scientist

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

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