• Steward core data assets: Maintain and steward the data that powers Atlas. Contribute to pipelines and infrastructure alongside engineers, and own data quality and integrity long-term. • Design data models: Develop and maintain foundational data models, tables, metrics, and transformations that serve as source of truth for the data product. • Be the data expert: Develop deep expertise in the civic data that powers Atlas, including metadata and data contracts. Understand what partners and internal teams need, and find ways to make data more accurate, accessible, and usable. • Support data consumers: Help researchers, product owners, and other downstream consumers understand data logic and how data flows through Atlas. Build relationships across teams to ensure collaborative problem-solving. • Resolve data issues: Investigate and fix issues when they arise, coordinating with internal stakeholders and external parties (e.g., data vendors, technology partners, etc.). • Improve operations: Proactively identify opportunities to enhance data quality, coverage, or timeliness. Find ways to make data processes more efficient and implement improvements to tools and methodologies.

• Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. • Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. • Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. • Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. • Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. • Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions.

• Design and evolve AI and ML architecture supporting compliance validation workflows • Design and optimise LLM-driven retrieval and validation pipelines (RAG-based systems) • Own evaluation frameworks, benchmarking strategies, and continuous improvement loops • Implement explainability and traceability mechanisms aligned with regulatory standards • Collaborate closely with ML Engineers and Backend teams on productionisation of AI components • Drive decisions around embeddings, vector databases, and retrieval strategies • Ensure reproducible, testable, and high-quality AI workflows • Support scaling the platform into an enterprise-grade AI solution • Lead technical discussions across product, engineering, and compliance stakeholders

About the Role: Tubi is transforming the future of television with a vast library of free, premium content supported by advertising. We’re seeking a curious, strategic, and technically strong Senior Data Scientist to join our growing Data Science team—specifically supporting our Content function. In this high-impact role, you’ll help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data. As a Senior Data Scientist at Tubi, you’ll lead end-to-end analytical projects that shape what our viewers see and how they experience our platform. You’ll work at the intersection of content strategy, product, marketing, and monetization, bringing a rigorous experimentation mindset and technical expertise to our most critical initiatives. Your work will be crucial in expanding our audience, optimizing our content library, and developing data-driven frameworks that scale with the business. You’ll collaborate cross-functionally with content strategy, data engineering, product managers, and executives—ensuring that data and experimentation are deeply embedded in how we choose, evaluate, and present content. This is an exciting opportunity for someone passionate about streaming, thrives in ambiguity, and wants to influence the future of TV through data. What You'll Do: 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. Your Background: 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. Experience with product analytics, content performance measurement, or personalization systems is a plus. 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. #LI-SL4 #LI-Hybrid Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. About Tubi: Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.