adminCompensation: $95,000 – $140,000 CAD + Performance Bonus
Employment Type: Full-time
Job Overview
Music does not merely play it resonates. And behind every resonance lies data.
As a Data Scientist within Warner Music Group, you will immerse yourself in vast oceans of listener signals, distilling patterns that reveal how audiences connect, react, and evolve. Your work will transform abstract datasets into cultural intelligence shaping how artists are positioned, how campaigns are executed, and how the industry anticipates its next wave.
This is not passive analysis; it is active interpretation where numbers translate into narratives and predictions influence reality.
What You’ll Shape
Advanced Forecasting & Predictive Systems
- Engineer sophisticated models that forecast streaming behavior, audience expansion, and commercial performance
- Contribute to demand planning, merchandise projections, and risk evaluation frameworks
Audience Intelligence & Pattern Discovery
- Aggregate and dissect large-scale listener data to uncover behavioral signals
- Identify anomalies and surface insights that guide strategic decisions
Experimental Design & Insight Communication
- Build hypothesis-driven frameworks to evaluate marketing and engagement strategies
- Translate dense analytical findings into compelling, decision-ready narratives
Cross-Functional Synergy
- Collaborate with global teams, labels, and business stakeholders to align insights with execution
- Work alongside merchandising and technology units to deliver actionable intelligence
Data Engineering Alignment
- Partner with data engineering teams to define, access, and refine datasets required for modeling precision
Candidate Profile
Academic Foundation
- Master’s degree in Statistics, Economics, Mathematics, or a closely related quantitative discipline
Professional Experience
- 2–6 years within data science, analytics, or a comparable field
Technical Proficiency
- Strong command of R, Python, and SQL
- Proven experience developing forecasting models with iterative refinement and backtesting
- Expertise in marketing analytics, including marketing mix modeling and campaign attribution techniques
- Experience building targeting models such as propensity scoring and look-alike segmentation
- Demonstrated ability to deploy machine learning models into production environments
Analytical & Communication Strength
- Skilled in bridging technical complexity with business relevance
- Proficient in data visualization tools (e.g., matplotlib, ggplot2) to communicate insights effectively
- Capable of guiding stakeholders toward data-informed decisions
Why This Role Matters
- You will interpret the pulse of global music audiences through data
- Your models will influence how artists are marketed, positioned, and discovered
- You will operate at the intersection of culture and computation—where analytics shapes artistry
- Your insights will ripple across campaigns, platforms, and global strategies
How to Apply?
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