Data Scientist I

This is a Full Time Job

Job Summary:

Join Disney's Direct to Consumer Experimentation and Causal Inference Data Science team as a 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 in Commerce, Product, Marketing, and Engineering, 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.

Job Summary:

We're looking for a Data Scientist to join the Experimentation & Causal Inference team within Disney's Commerce, Data & Identity group. In this role, you'll transform complex data into actionable insights, helping to optimize the entire subscriber journey-from acquisition and engagement to retention and monetization. You'll collaborate closely with partners across Product, Marketing, Commerce, and Engineering to design high-impact experiments and develop causal models that drive measurable business outcomes.

Responsibilities and Duties of the Role:
• Design and lead A/B tests and geo experiments from hypothesis to recommendation
• Apply causal inference methodologies such as difference-in-differences, instrumental variables, and quasi-experimental designs to extract insights from observational data
• Translate findings into clear, impactful recommendations for cross-functional stakeholders
• Build scalable experimentation and analysis pipelines that can be leveraged across multiple products and teams
• Present results to executive stakeholders and communicate complex statistical concepts in a compelling and accessible way

Required Education, Experience/Skills/Training

Basic Qualifications
• Proficiency in Python and strong SQL skills for working with large datasets
• Experience designing and analyzing A/B and geo experiments
• Familiarity with causal inference techniques such as difference-in-differences and instrumental variables
• Applied knowledge of statistical methods and predictive modeling
• Ability to translate complex data into actionable business insights
• Strong communication and collaboration skills across technical and non-technical teams

Preferred Qualifications
• Prior experience supporting a direct-to-consumer or subscription-based digital product
• Familiarity with distributed computing frameworks and tools such as Spark, Scala, or Hadoop
• Hands-on experience with modern data platforms and tools such as Databricks, Snowflake, Redshift, Jupyter, or Airflow

Required Education
• Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience

The hiring range for this position in New York City is $99,900 - $133,900, and in San Francisco, it is $104,400 - $140,000.

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