Apply advanced statistical methods and machine learning as a Data Scientist at Warner Music Group, turning streaming signals into listener insights.

This Data Scientist role focuses on audience behavior, artist performance, and commercial forecasting across major streaming platforms. You will build predictive models, evaluate marketing campaigns, and create data-driven decision tools. The work connects large-scale music data with business decisions across WMG.

Key Responsibilities:

- Build forecasts for streaming, audience growth, and commercial performance
- Analyze listening preferences, engagement data, and audience anomalies
- Develop hypothesis testing frameworks and tailored presentations
- Collaborate with labels, affiliates, and merchandising stakeholders




- Define model data requirements with data engineering teams

Requirements:

- Master's degree in statistics, economics, mathematics, or related field
- Five-plus years of data science experience after bachelor's degree
- Five-plus years using R, Python, and SQL hands-on
- Experience deploying machine learning models into production environments
- Five-plus years building forecasting and audience models

Bring forecasting, machine learning, and audience analytics expertise to Warner Music Group’s data-driven music business.

📌 Senior Music Data Scientist (Canada)
🏢 Warner Music Group
📍 Canada