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Senior Data Scientist

Remote, USA Full-time Posted 2026-06-16

T?tulo del aviso de empleo: Senior Data Scientist ID de req.: 10060149 Descripci?n del empleo: The Walt Disney Company Direct to Consumer?s (DTC) Data Science team 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. Are you someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities? If so, then this is a phenomenal role for you!

Responsibilities

This role is integral to maintaining and improving email personalization models and pipelines, in... addition to modeling engagement and content affinity. Modeling: Apply innovative 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 build common understanding of how users 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 collaborators to identify and unlock opportunities, and other data partners to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Basic Qualifications Bachelors or Master?s degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics) 5 related experience with developing machine learning models and conducting statistical analysis Deep understanding of machine learning concepts and statistical methods Ability to draw insights and conclusions from data to advise 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

Master's or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research) Solid understanding of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC Experience fully integrating data science solutions into the business and operationalizing ML models The hiring range for this position in Santa Monica, CA is $136,038 to $182,490 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. Segmento del aviso de empleo: Direct to Consumer Segmento principal del aviso de empleo: DTC Analytics and Data Science Categor?a del aviso de empleo principal: Ciencias de datos Tipo de empleo: A tiempo completo Ciudad principal, estado, regi?n, c?digo postal: Santa Monica, CA, USA Ciudad alternativa, estado, regi?n, c?digo postal: USA - CA - 1200 Grand Central Ave Fecha del aviso: 2023-08-29 Learn more about us Apply Job! For more such jobs please click here!

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