Data Scientist

Tubi • San Francisco, CA

13d • Hybrid

About The Position

Data Scientist (Tubi, Inc.; San Francisco, California): Apply machine learning (ML) and artificial intelligence (AI) to analyze data and derive insights from large datasets to identify ways to improve user experiences for both new and returning users. Lead a diverse set of data projects, providing insights and recommendations to inform data-driven decisions that drive our recommended systems. Apply statistical rigor, metric alignment, transparency, and effectiveness to Tubi’s decision-making process. Help the machine learning team refine their recommendation models to elevate user experiences. Identify the best strategies to optimize the experiences of new and returning users. Evaluate experimental designs, including pre-test planning, in-flight monitoring, and post experimental analysis for graduation decisions. Collaborate with cross-functional teams to build pipelines and tools and make business-impacting decisions. Telecommuting permitted pursuant to company policy.

Requirements

• product analytics and working with event-level data
• programming and data manipulation using SQL, Python, and Spark
• statistical analysis and deriving insights from large datasets
• presenting complex findings to non-technical stakeholders
• experimental design and A/B testing
• applying causal inference methods to business or product problems
• creating clear and effective data visualizations and dashboards

Responsibilities

• Apply machine learning (ML) and artificial intelligence (AI) to analyze data and derive insights from large datasets to identify ways to improve user experiences for both new and returning users.
• Lead a diverse set of data projects, providing insights and recommendations to inform data-driven decisions that drive our recommended systems.
• Apply statistical rigor, metric alignment, transparency, and effectiveness to Tubi’s decision-making process.
• Help the machine learning team refine their recommendation models to elevate user experiences.
• Identify the best strategies to optimize the experiences of new and returning users.
• Evaluate experimental designs, including pre-test planning, in-flight monitoring, and post experimental analysis for graduation decisions.
• Collaborate with cross-functional teams to build pipelines and tools and make business-impacting decisions.

Benefits

• Flexible Time off Policy
• Parental Leave Program (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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree