Data Scientist

Overview

At Warner Music Group, we’re a global collective of music makers, tech innovators, and creative entrepreneurs. Technology is a key part of our business, enabling data-driven insights across streaming platforms and digital services. We strive to create an inclusive work environment that values diverse backgrounds.

We’re looking for a Data Scientist to translate millions of signals into actionable insights about listeners. You will build predictive models, uncover hidden behaviors, and optimize marketing campaigns using advanced statistics and machine learning.

• Advanced Forecasting & Modeling:
  Build robust forecasting models across streaming, audience growth, and commercial performance; support deal risk, merchandise, and demand planning.
• Audience Insights & Analytics:
  Gather and analyze audience data, establish best practices, detect anomalies, and surface actionable insights from large‑scale streaming and engagement data.
• Hypothesis Testing & Storytelling:
  Transform complex data into compelling stories through tailored presentations; develop hypothesis testing frameworks and decision‑making tools for real‑time audience analysis.
• Cross‑Functional
  
  Collaboration:
  
  Partner with local affiliates, labels, international teams, Global Technology, merchandising teams, and business stakeholders to deliver critical reporting and inference.
• Data Engineering Integration:
  Work with data engineering teams to identify, define, and secure the data needed for modeling.

• Education:
  
  Master’s degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a related quantitative field.
• Experience:
  
  2–6 years of professional data science, analytics, or related work.
• Technical Stack: 2–6 years with R, Python, and SQL.
• Forecasting: 2+ years building forecasting models across streaming, audience growth, and commercial performance.
• Marketing & Audience Models: 2+ years using advertising data to build marketing mix models.
• Targeting & Behavior: 2+ years building targeting models, including propensity scoring and look‑alike modeling.
• Production ML: 2+ years deploying machine learning models in production.
• Stakeholder
  
  Collaboration:
  
  Proven ability to bridge technical complexity and business logic, empowering non‑technical teams.
• Data Visualization: 2+ years communicating complex concepts to non‑technical stakeholders with visualization tools such as matplotlib or ggplot
  2.

Base salary: $95,000–$140,000 CAD (level dependent). Eligible for performance‑based annual bonus.

WMG is committed to inclusion and diversity in all aspects of our business. We are an equal‑opportunity workplace and evaluate qualified applicants without regard to race, religion, color, age, sex, sexual orientation, gender identity or expression, national origin, marital status, medical condition, disability, veteran status, or other protected characteristics as defined by law.