Disney Direct-To-Consumer is looking for a Senior Data Scientist to partner with growth, content, marketing, product, and engineering teams to empower decision-makers with information, predictions, and insights that influence the experiences of millions of users worldwide. The role will focus on developing models for churn and upgrade prediction, plan recommendation, discount optimization, signups and subscriber forecasting, causal inference, and anomaly detection to solve business problems through data modeling.
Requirements
- 5+ years of experience designing, building, and evaluating practical machine learning solutions
- Strong coding experience in one (or more) data programming languages, including Python; additional experience with distributed computing tools like PySpark and SparkML or equivalent libraries a plus
- Strong background in statistical & machine learning modeling: regression, classification, choice modeling, time series analysis, segmentation, dimensionality reduction, and other techniques
- 5+ years experience with databases and data pulling tools (SQL, Hive)
- Experience with version control tools such as git
- Experience deploying data science pipelines at-scale in a production environment
- Familiarity with MLOps best practices
Responsibilities
- Design, build, deploy, and improve machine learning pipelines.
- Work end to end from data collection, feature generation and selection, algorithm development and tuning, visualization and monitoring of model results, and productionalization of pipelines.
- Work with partner teams to drive experimentation to test impact of models.
- Develop comprehensive understanding of subscriber, playback, and payment data structures and metrics.
- Mine large data sets to identify opportunities for driving growth and retention of subscribers.
- Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.
- 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.
Other
- Partnering closely with the Marketing, Subscriber Analytics, Commerce Product, and Engineering teams
- Working closely with non-technical business partners and executives
- Requires the use of analytical abilities, business understanding, and technical savvy to identify specific and actionable opportunities to solve business problems through data modeling.
- We are looking for someone with deep analytical and modeling expertise, a proven track record of thought leadership, and eagerness to drive impact.
- Willingness to adapt in fast-paced and quickly growing work environment
