Data Scientist, Subscriber and Commerce Data Science

Job Description

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 t hrough user-level lifetime value (LTV) modeling.
We're hiring a Data Scien tist 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.

Responsibilities
Machine Learning & Modeling
• Develop, optimize , and maintain models for payment optimization, fraud detection, and LTV prediction.
• Build robust end-to-end ML workflows, including data collection , feature engineering , model development , and evaluation.
Experimentation & Deployment
• Collaborate with Product and Engineering to deploy models in to production environments and monitor performance .
• Design and analyze A/B tests and other experiments to assess model impact.
• Implement batch and real-time inference pipelines for fraud detection and payment optimization use cases.
Insights & Strategy
• Analyze subscriber behavior, payment flows , and fraud patterns to generate actionable insights.
• Translate complex data into clear, data-driven recommendations to improv e business outcomes.
Cross-functional Collaboration
• Partner with stakeholders to translate business needs into machine learning problems.
• Collaborate with E ngineering to improve data pipelines , experimentation frameworks, and model monitoring.
• Communicate insights effectively to technical and non-technical stakeholders .
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.
#DISNEYANALYTICS
#DISNEYTECH
The hiring range for this position in New York, NY is $145,500 to $195,000 per year. Santa Monica, CA and Glendale, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. 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.
About Disney Direct to Consumer:
Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere.

This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.
Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

Jobcode: Reference SBJ-122qoy-216-73-216-0-42 in your application.