Associate Data Scientist
Postuler maintenant Postuler ultérieurement Job ID 10128432 Emplacement Santa Monica, Californie, États-Unis / Glendale, Californie, États-Unis / San Francisco, Californie, États-Unis / New York, New York, États-Unis Entreprise Disney Direct to Consumer Date de publication 28/08/2025Résumé du poste:
Join Disney's Direct to Consumer Content and Product Data Science team as a Data Scientist, where you'll transform complex data into strategic business decisions that shape the future of streaming entertainment. Collaborating closely with cross-functional partners in Commerce, Product, Marketing, Content Acquisition and Engineering, you'll build models that optimize content every aspect of the business from content spend to subscriber lifecycle.
As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN+. Your insights will shape product roadmaps, content marketing and acquisition, and user experience optimizations that drive measurable business growth.
Job Summary:
The Data Science team at Disney Streaming Services combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you!
Responsibilities and Duties of the Role:
- Modeling: Apply state of the art machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization.
- Deep analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the service and content.
- Visualization of Insights: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful 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.
Required Education, Experience/Skills/Training:
Basic Qualifications:
- Experience with developing machine learning models and statistical analysis
- Deep understanding of machine learning concepts and statistical methods
- Ability to draw insights and conclusions from data to inform model development and business decisions
- Desire to collaborate with other data scientists, data analysts, and key business partners
- Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.)
- Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)
- Understanding of SQL and distributed data technologies (Hive, Spark)
Preferred Qualifications:
- Working knowledge of Bayesian modeling
- Experience fully integrating data science solutions into the business and operationalizing ML models
Required Education:
- Bachelor’s degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience
The hiring range for this position in Santa Monica, CA is $95,300 - $127,800. 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
Sur Disney Direct to Consumer:
L’équipe « Direct to Consumer » de Disney supervise les activités de streaming Hulu et Disney+ au sein de Disney Entertainment, en aidant à apporter les meilleures histoires de The Walt Disney Company aux fans et aux familles partout dans le monde.
Sur The Walt Disney Company:
The Walt Disney Company, ainsi que ses filiales et sociétés affiliées, forme l’une des principales entreprises internationales diversifiées de divertissement familial et de médias. Elle comprend trois secteurs d'activités essentiels : Disney Entertainment, ESPN et Disney Experiences. Depuis ses modestes débuts en tant que studio de dessins animés dans les années 1920 jusqu’à son statut de référence actuel dans le secteur du divertissement, Disney poursuit fièrement sa tradition de création d’histoires et d’expériences exceptionnelles pour tous les membres de la famille. Les histoires, les personnages et les expériences de Disney touchent les consommateurs et les visiteurs du monde entier. À travers nos activités présentes dans plus de 40 pays, nos employés et cast members collaborent pour créer des expériences de divertissement appréciées à la fois au niveau universel et local.
Le poste est rattaché à Disney Streaming Services LLC , qui fait partie d’une entreprise que nous appelons Disney Direct to Consumer.
Disney Streaming Services LLC est un employeur qui souscrit au principe d’égalité des chances à l’emploi. Les candidat(e)s seront pris(es) en considération pour un emploi sans distinction de race, de religion, de couleur, de sexe, d’orientation sexuelle, de genre, d’identité de genre, d’expression de genre, d’origine nationale, d’ascendance, d’âge, d’état matrimonial, de statut militaire ou d’ancien combattant, d’état de santé, d’informations génétiques ou de handicap, ou de tout autre motif interdit par la loi fédérale, étatique ou locale. Disney défend un environnement commercial où les idées et décisions de tous et toutes nous aident à grandir, innover, créer les meilleures histoires et être pertinents dans un monde en évolution constante.