Senior Data Scientist - Experimentation and Causal Inference

Overview Senior Data Scientist - Experimentation and Causal Inference at Disney's Direct to Consumer Experimentation and Causal Inference Data Science team. You will transform complex data into strategic business decisions that shape the future of streaming entertainment, collaborating with cross-functional partners to architect and execute sophisticated experiments that optimize the subscriber journey—from initial acquisition through long-term retention and revenue growth. This role directly impacts millions of subscribers across Disney+, Hulu, and ESPN, shaping product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth.

What You\'ll Do 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.

Qualifications 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.

Desired Qualifications 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.

The hiring range for this position in Santa Monica, CA is $141,900 to $190,300 per year, in San Francisco, CA is $155,400 to $208,400 and in New York City, NY is $148,700 to $199,400. The base pay actually offered will take into account internal equity and also may vary depending on the candidate\'s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and / or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and / or other benefits, dependent on the level and position offered.

Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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