The Direct to Consumer Data & Analytics organization needs to optimize strategic decisions based on decision and data science principles.
Requirements
- Experience developing machine learning models and performing data analysis with Python and/or R
- Experience querying cloud-hosted databases with SQL
- Experience with statistical analysis and machine learning techniques: time-series forecasting, causal inference, regression, decision trees, clustering, etc.
- Familiarity with data exploration and data visualization tools such as Looker, Tableau, or JupyterLab/Notebook
- Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark
- Experience with data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting
- Experience with advanced analytics techniques
Responsibilities
- Apply advanced analytics techniques to large-scale, high-dimensional data
- Analyze customer behavior to identify unmet customer needs and untapped content opportunities
- Use advanced causal inference methodologies to quantify engagement and overall impact
- Predict content engagement to help guide acquisition decisions
- Optimize content launch and episode release strategy
- Test merchandising strategies to optimize engagement and retention
- Ideate and develop new metrics and KPIs for content performance, engagement and churn
Other
- Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics or related quantitative field
- 5+ years of analytical experience
- Demonstrated ability to work independently and apply creativity in solving open-ended problems
- Outstanding data storytelling skills through verbal, written, and visual communication
- Ability to explain how models are used and how algorithms behave to both technical and non-technical audiences
- Master of Science degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics or related quantitative field (nice-to-have)
- A passion for media and entertainment (nice-to-have)
