Tubi is seeking a Senior Data Scientist to help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data, ultimately expanding their audience and optimizing their content library.
Requirements
- 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.
- Experience with product analytics, content performance measurement, or personalization systems is a plus.
- 8+ years of experience in a data science, analytics, or quantitative research role, ideally in a consumer technology or media company.
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.
Other
- Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, or a related field.
- Experience in video streaming, entertainment, or ad-supported media is highly preferred.
- Curious, strategic, and technically strong.
- Passionate about streaming, thrives in ambiguity, and wants to influence the future of TV through data.
- Collaborate cross-functionally with content strategy, data engineering, product managers, and executives.
