Senior Data Scientist - Experimentation and Causal Inference

工作 ID 10136962 地點纽约, 纽约州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 / 旧金山, 加利福尼亚州, 美國 有意工作的公司 Disney Direct to Consumer 日期已公佈 Dec. 03, 2025

申請

工作概要:

About The Role & Team

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.

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.

申請

關於Disney Direct to Consumer:

Disney 的直接消費者團隊負責監督 Disney Entertainment 中的 Hulu 和 Disney+ 串流業務，協助將 The Walt Disney Company 一流的故事講述給世界各地的粉絲和家庭。

關於 The Walt Disney Company:

Walt Disney Company 連同其子公司和聯營公司，是領先的多元化國際家庭娛樂和媒體企業，其業務主要涉及三個範疇：Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初，只是一間卡通工作室，至今已成為娛樂界的翹楚，並昂然堅守傳承，繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落，深入人心。我們在 40 多個國家/地區營運業務，僱員及演藝人員攜手協力，創造全球和當地人們都珍愛的娛樂體驗。

這個職位隸屬於 Disney Streaming Services LLC，其所屬的業務部門是 Disney Direct to Consumer。

Disney Streaming Services LLC 是提供平等就業機會的僱主。求職者都會獲得聘僱考量的機會，不分種族、宗教、膚色、生理性別、性傾向、社會性別、性別認同、性別表達、原國籍、血統、年齡、婚姻狀態、軍人或退伍軍人身份、醫療狀況、遺傳資訊或殘疾狀況、或者聯邦、州級或地方法律所禁止的其他任何基本特徵。Disney 提倡讓所有人的想法和決策都有助我們發展、創新、創造最好故事的商業環境，並與瞬息萬變的世界息息相關。

就業申請的殘疾便利安排

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