Music Streaming Data Scientist
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
By continuing, you agree to our Terms & Privacy Policy.
Analyze streaming behavior at Warner Music Group using statistical methods, machine learning, and data-driven insights across global audiences. Translate massive listening signals into actionable cultural understanding.
As a Data Scientist, you will study audience behavior across major streaming platforms. You will build predictive models for artist and commercial performance, forecast listener demand, and evaluate marketing impact. The work connects music listening data with decisions about engagement, delivery streams, and business performance.
Key Responsibilities:
- Build forecasting models across streaming and audience growth
- Analyze large-scale listening and engagement data
- Detect anomalies and surface actionable audience insights
- Develop hypothesis testing frameworks and decision tools
- Partner with labels, affiliates, and technology teams
Requirements:
- Master's degree in a quantitative field
- Five-plus years of post-bachelor's data science experience
- Five-plus years using R, Python, and SQL
- Experience evaluating and improving forecast accuracy
- Experience building targeting and propensity models
Apply statistical modeling, forecasting, and audience analytics to understand music listeners and support Warner Music Group decisions.