Associate Data Scientist
Aplicar ahora Aplique más tarde Job ID 10128432 Ubicación Santa Mónica, California, Estados Unidos / Glendale, California, Estados Unidos / San Francisco, California, Estados Unidos / Nueva York, Nueva York, Estados Unidos Business Disney Direct to Consumer Fecha de publicación 28/08/2025Detalles del empleo:
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
Acerca de Disney Direct to Consumer:
El equipo Direct to Consumer de Disney supervisa los negocios de streaming de Hulu y Disney+ dentro de Disney Entertainment, lo que permite llevar la inigualable narrativa de The Walt Disney Company a los aficionados y familias de todo el mundo.
Acerca de The Walt Disney Company:
The Walt Disney Company, junto con sus subsidiarias y afiliadas, es una empresa internacional diversificada líder en entretenimiento familiar y medios de comunicación que incluye tres segmentos comerciales principales: Disney Entertainment, ESPN y Disney Experiences. Desde sus humildes comienzos como estudio de dibujos animados en la década de 1920 hasta su reconocido nombre en la industria del entretenimiento en la actualidad, Disney continúa con orgullo su legado de crear historias y experiencias de clase mundial para toda la familia. Las historias, los personajes y las experiencias de Disney llegan a consumidores e invitados de todos los rincones del mundo. Con operaciones en más de 40 países, nuestros empleados y miembros del elenco trabajan juntos para crear experiencias de entretenimiento que sean apreciadas a nivel local y global.
Este puesto es en Disney Streaming Services LLC , que forma parte de una empresa comercial que denominamos Disney Direct to Consumer.
Disney Streaming Services LLC es un empleador que ofrece igualdad de oportunidades. Los solicitantes recibirán consideración para el empleo independientemente de su raza, religión, color, sexo, orientación sexual, género, identidad de género, expresión de género, nacionalidad, ascendencia, edad, estado civil, condición de militar o veterano, afección médica, información genética o discapacidad, o cualquier otro fundamento prohibido por la ley federal, estatal o local. Disney defiende un entorno empresarial donde las ideas y decisiones de todas las personas nos ayudan a crecer, innovar, crear las mejores historias y ser relevantes en un mundo en constante evolución.