Data Scientist I
Job Summary:Data scientist I at Disney are the insights and modeling partners for the content, marketing, product, engineering, Finance and Business Operations 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 models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
Responsibilities:
- Modeling: Design, build and improve machine learning models for forecasting, optimization, and segmentation. Work end to end from data collection, feature generation and selection, algorithm development, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model based optimization.
- Deep analysis: Develop comprehensive understanding of subscriber and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers.
- Visualization of Complex Data sets: 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:
- 1-2+ years of hands-on experience designing, building, and evaluating practical machine learning solutions to solve business problems
- 1-2+ years’ experience with statistical programming language (Python or R)
- 1-2+ years’ experience using SQL
- Deep understanding of statistical concepts like hypothesis testing, Bayesian decision-making, etc
- Hands-on experience in advanced data analysis
- Strong communication skills, for both technical and non-technical audiences.