Senior Data Scientist

Summary

Join Tubi's growing Data Science team as a Senior Data Scientist and help drive smarter content decisions, personalize strategies, and boost viewer engagement. You will lead end-to-end analytical projects, shaping what viewers see and how they experience the platform. Working at the intersection of content strategy, product, marketing, and monetization, you'll use a rigorous experimentation mindset and technical expertise. Your work will be crucial in expanding the audience, optimizing the content library, and developing data-driven frameworks. Collaborate with cross-functional stakeholders, ensuring data and experimentation are central to content choices. This role offers the chance to influence the future of TV through data for someone passionate about streaming and thriving in ambiguity.

Requirements

• 8+ years of experience in a data science, analytics, or quantitative research role, ideally in a consumer technology or media company
• Advanced proficiency in SQL, Python, and Spark, with hands-on experience managing and analyzing large-scale, event-level data
• Deep understanding of A/B testing, experimental design, and causal inference methodologies
• Proven ability to translate data into compelling stories and recommendations for non-technical audiences
• Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, or a related field

Responsibilities

• Design, execute, and analyze A/B tests and quasi-experiments that inform content acquisition, placement, and personalization strategies
• Apply statistical rigor and causal inference methods to evaluate content performance and viewer engagement at scale
• Work with large, complex datasets using SQL, Python, and Spark to uncover actionable insights that drive strategic content decisions
• Develop and maintain dashboards, data products, and visualizations that translate data into clear business recommendations
• Partner closely with cross-functional stakeholders to influence decisions with thoughtful, transparent, and evidence-based insights
• Collaborate with Data Engineering and ML Ops to improve data pipelines, feature engineering, and automation across experimentation workflows
• Serve as a thought partner across teams, advocating for best practices in experimentation, measurement, and data strategy

Preferred Qualifications

• Experience with product analytics, content performance measurement, or personalization systems is a plus
• Experience in video streaming, entertainment, or ad-supported media is highly preferred

Benefits

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