Senior Data Scientist - Experimentation and Causal Inference
About The Position
Join Disney's Direct to Consumer Experimentation and Causal Inference Data Science team as a Sr Data Scientist, where you'll transform complex data into strategic business decisions that shape the future of streaming entertainment. Collaborating closely with cross-functional partners across the Business, you'll architect and execute sophisticated experiments that optimize every aspect of the subscriber journey—from initial acquisition through long-term retention and revenue growth. As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN. Your insights will shape Product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth.
Requirements
- Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field.
- 5+ years of experience conducting strategic analyses and communicating insights to drive decision-making.
- Expertise in Python, R, or similar languages, including experience building software packages for statistical analysis.
- Expertise in SQL.
- Proficient in analyzing data and developing ML models using Python (with ML frameworks like LGBM, scikit-learn, etc.).
- Strong background in statistical modeling: regression, classification, time series forecasting, causal inference, and other techniques.
- Demonstrated ability to translate complex data into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders.
- Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling.
- Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches.
- Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes.
Nice To Haves
- Masters or PhD in quantitative field with an emphasis on experimentation or causal inference.
- Experience applying strategic thinking to analyze market trends and consumer insights, with preference for candidates who have worked with subscription-based business models.
- Ability to adapt quickly in a fast-moving environment with shifting priorities.
- Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github.
Responsibilities
- Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations
- Apply Causal Inference Methods: Leverage advanced techniques including difference-in-differences, instrumental variables, propensity score analysis, and other quasi-experimental designs to extract actionable insights from observational data
- Build Scalable Solutions: Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses
- Deliver Strategic Insights: Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations
- Influence Executive Decisions: Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
