The Subscriber & Commerce Data Science team at Disney Streaming builds Machine learning models to optimize payment processes, detect and prevent fraud, and forecast customer lifetime value across our streaming platforms, including Disney+, Hulu and ESPN+. We play a key role in growing the business by increasing payment success, reducing fraud, improving retention, and enabling value measurement through user-level lifetime value (LTV) modeling.
We’re hiring a Data Scientist to help design, build and deploy machine learning solutions that solve key business challenges. In this role, you’ll work closely with Product, Engineering, Analytics and Finance to deliver models that enhance the customer experience and drive measurable business impact.

BASIC QUALIFICATIONS

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience developing and deploying machine learning models in production.
• Proficiency in SQL, Python (e.g. Pandas, NumPy, Scikit-learn, LightGBM); experience with distributed computing tools such as Spark or PySpark.

PREFERRED QUALIFICATIONS

• M.S. or Ph.D. in a quantitative discipline
• Deep expertise in statistical modeling and machine learning, including Bayesian methods.
• Familiarity with tools like Databricks, Snowflake, Airflow, GitHub.
• Experience designing and analyzing A/B tests and other experiments.
• Experience with data visualization and exploration tools such as Tableau, Looker
• Ability to choose and justify appropriate modeling and statistical techniques for varied problems.
• Comfortable working in fast-paced environments with evolving priorities.
• Excellent communication skills with both technical and non-technical audiences.