Senior Data Scientist Apply Now Apply Later Job ID 10128244 Location New York, New York, United States / Santa Monica, California, United States / San Francisco, California, United States Business Disney Direct to Consumer Date posted 8月. 06, 2025 Job Summary: Data scientists at Disney Direct-To-Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build and productionize models that are used in marketing platforms and in-product every day. They provide scalable, persistent capabilities that are iteratively improved through direct interaction with cross-functional business partners. As a senior data scientist in the Retention and Engagement Modeling Intelligence Data Science team, you will be partnering closely with the Marketing, Subscriber Analytics, Commerce Product, and Engineering teams to develop models for tackling a multitude of exciting challenges, including churn and upgrade prediction, plan recommendation, discount optimization, signups and subscriber forecasting, causal inference, anomaly detection and much more! In this role you will also be working closely with non-technical business partners and executives, and it requires the use of analytical abilities, business understanding, and technical savvy to identify specific and actionable opportunities to solve business problems through data modeling. We are looking for someone with deep analytical and modeling expertise , a proven track record of thought leadership, and eagerness to drive impact. Responsibilities Modeling : Design, build, deploy, and improve machine learning pipelines. Work end to end from data collection, feature generation and selection, algorithm development and tuning, visualization and monitoring of model results, and productionalization of pipelines. Work with partner teams to drive experimentation to test impact of models. Complex analysis & Visualization : Develop comprehensive understanding of subscriber, playback, and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers . Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually. Partnership : Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Basic Qualifications Bachelor’s degree in advanced Mathematics , Statistics, Data Science or comparable field of study 5+ years of experience designing, building, and evaluating practical machine learning solutions Strong coding experience in one (or more) data programming languages, including Python; additional experience with distributed computing tools like PySpark and SparkML or equivalent libraries a plus Strong background in statistical & machine learning modeling: regression, classification, choice modeling, time series analysis, segmentation, dimensionality reduction, and other techniques 5+ years experience with databases and data pulling tools (SQL, Hive) Experience with version control tools such as git Willingness to adapt in fast-paced and quickly growing work environment Seasoned & resourceful problem solver who figures out how to get things done, even if it means navigating through ambiguity Preferred Qualifications Master’s or Ph.D in Applied Mathematics, Computer Science, Statistics, Economics or related degree Experience deploying data science pipelines at-scale in a production environment Familiarity with MLOps best practices Excellent analytical skills, advanced level of statistics knowledge Demonstrated skill in selecting the right statistical or machine learning tools to solve a given problem Ability to adapt quickly in a fast-moving environment with shifting priorities Strong communication skills, for both technical and non-technical audiences Ability to handle multiple tasks concurrently and in a timely manner Familiarity with data platforms and applications such as Databricks, Jupyter Notebooks, Snowflake, Airflow, Github Actions Familiarity with data exploration and data visualization tools such as Tableau, Looker Familiarity with designing and analyzing A/B testing and other experiment types Experience thinking strategically to interpret market and consumer information, preferably about a subscription service #DISNEYANALYTICS #DISNEYTECH

The hiring range for this position in New York, NY is $145,500 to $195,000 per year. Santa Monica, 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. 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. Sign up to receive new job alerts and company information based on your preferences. Select a job category from the list of options. Select a location from the list of options. Finally, click “Add” to create your job alert. Set your preferences Job Category Location When autocomplete results are available use up and down arrows to review and enter to select. Touch device users, explore by touch or with swipe gestures. Job Level First Name * Last Name * Email Address * Country/Region of Residence * Confirm Email

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