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Data Scientist II

Data Scientist II

The Walt Disney CompanySanta Monica, CA, United States
8 hours ago
Job type
  • Full-time
Job description

Data Scientist II

Location : Santa Monica, California, United States / New York, New York, United States

Date posted : October 9, 2025

Job Summary : 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.

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 into 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 improve business outcomes.
  • Cross-functional Collaboration : Partner with stakeholders to translate business needs into machine learning problems.
  • Collaborate with Engineering 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 (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.
  • Compensation

    The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year and in New York City, NY is $120,300 to $161,300. 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.

    About The Walt Disney Company

    The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments : Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

    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.

    Disability Accommodation For Employment Applications

    The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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