Disney's Direct to Consumer Experimentation and Causal Inference Data Science team needs to transform complex data into strategic business decisions that shape the future of streaming entertainment by optimizing subscriber acquisition, retention, and revenue growth.
Requirements
- 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.
- 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.
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
- Drive Innovation: Be a thought leader on robust and rigorous analysis throughout the Data Intelligence and Analytics team
- Influence Executive Decisions: Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders
Other
- 7+ years of experience conducting strategic analyses and communicating insights to drive decision-making.
- Highly collaborative with excellent written and verbal communication skills and demonstrated experience presenting directly to Executive stakeholders
- Demonstrated ability to translate complex data into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders.
- Exceptional curiosity and a drive for insights that impact business outcomes.
- Experience applying strategic thinking to analyze market trends and consumer insights, with preference for candidates who have worked with subscription-based business models.
