Data Scientist

About Warner Music Group

Warner Music Group (WMG) is a global collective of music creators, tech innovators, and entrepreneurial visionaries dedicated to turning dreams into stardom and audiences into fans. Backed by core values of Curiosity, Collaboration, and Commitment, the company thrives on cultural immersion, teamwork, and integrity to deliver excellence in music worldwide.

Technology is central to WMG's operations—from signing artists to providing critical data to digital service providers like Spotify and YouTube—and the engineering team makes these innovations a reality. WMG nurtures a diverse, inclusive working environment that respects and values all backgrounds, encouraging applications from a variety of experiences.

Role Overview

The Data Scientist will analyze massive cultural trends propagated via major streaming platforms. This role involves transforming vast streams of data into actionable insights about listeners’ behaviors, building predictive models about artists and commercial outcomes, and forecasting fan preferences. The candidate will also measure the effectiveness of global marketing campaigns through data experiments and provide data-driven recommendations to increase fan engagement.

Key Responsibilities

• Develop advanced forecasting and predictive models related to streaming data, audience growth, and commercial performance, including merchandise and demand planning.
• Analyze extensive audience datasets to reveal listening habits and isolate anomalies for actionable insights.
• Create hypothesis testing frameworks and storytelling presentations to clearly communicate complex data and audience trends to non-technical stakeholders.
• Collaborate across teams including local affiliates, record labels, international units, merchandising, and technology departments to deliver essential reports and analyses.
• Work closely with data engineering to secure necessary data inputs for analytical modeling.

Candidate Profile

• Master’s degree or equivalent in Statistics, Economics, Mathematics, or related quantitative discipline.
• At least 5 years of direct hands-on experience as a data scientist; alternatively, 3+ years post graduate degree experience.
• Proficient in R, Python, and SQL with a minimum of 5 years utilizing these tools in professional environments.
• Extensive experience (5+ years) in creating and refining forecasting models, including assessing forecast accuracy and iterative improvement.
• Demonstrated expertise in marketing analytics using advertising datasets to build marketing mix models employing multi-linear regression and Hierarchical Bayes techniques.
• Deep understanding of building targeting models such as propensity scoring and look-alike modeling to extract meaningful insights on audience behavior.
• Proven track record of successfully deploying machine learning models into production environments for at least 5 years.
• Strong communication skills to bridge technical data concepts with business strategy, enabling leadership and cross-functional teams to make informed decisions.
• Experience designing data visualizations using tools like matplotlib or ggplot2 to explain complex technical concepts effectively.

Compensation and Additional Details

The position offers an annual base salary ranging from $105,000 to $140,000 CAD. In addition, the role is eligible for a performance-based annual bonus. This is an active vacancy located onsite in Ontario, Canada.

Inclusion and Legal Compliance

WMG is committed to fostering an inclusive and diverse workplace that evaluates all candidates fairly regardless of race, color, gender identity, age, sexual orientation, disability, veteran status, or any other legally protected classification. Equal opportunity hiring practices are strictly upheld.

Use of AI in Hiring

Artificial intelligence tools may be employed during application reviews and resume analysis to assist recruiters; however, final hiring decisions are made by humans. Candidates may inquire about data handling procedures if desired.