Disneyland Hong Kong
Overview
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 aim to grow 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 design, build and deploy machine learning solutions that solve key business challenges. 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. Qualifications
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 Deep expertise in statistical modeling and machine learning, including Bayesian methods. MS or PhD in a quantitative discipline. 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. Salary and benefits: 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 offered will reflect internal equity and may vary by geographic region, job-related knowledge, skills, and experience. A bonus and/or long-term incentive units may be provided, in addition to the full range of medical, financial and/or other benefits, depending on the level and position offered. Equal Opportunity
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 require a reasonable accommodation to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will respond to requests related to accessibility of the online application system due to a disability.
#J-18808-Ljbffr
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 aim to grow 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 design, build and deploy machine learning solutions that solve key business challenges. 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. Qualifications
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 Deep expertise in statistical modeling and machine learning, including Bayesian methods. MS or PhD in a quantitative discipline. 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. Salary and benefits: 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 offered will reflect internal equity and may vary by geographic region, job-related knowledge, skills, and experience. A bonus and/or long-term incentive units may be provided, in addition to the full range of medical, financial and/or other benefits, depending on the level and position offered. Equal Opportunity
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 require a reasonable accommodation to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will respond to requests related to accessibility of the online application system due to a disability.
#J-18808-Ljbffr