Walt Disney
Location
Santa Monica, CA | United States
Job description
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
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