Data Visualization: At least 5 years of experience communicating complex technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries). Compensation: This position offers a base salary $105,000 - $140,000 CAD. In addition to base salary, this role is eligible for a performance based annual bonus. Vacancy Status: This posting is for an active, existing vacancy.
Salary 105,000 – 140,000 CAD per year As the home to 10K Projects, Asylum, Atlantic Music Group, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalog of more than one million copyrights worldwide. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.Read the full posting
Work setup in the employer’s posting: remoteFrom the employer’s posting
Employment type Full-Time
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
Build forecasting models for streaming, audience growth and commercial performance
Analyze audience and streaming data to detect anomalies and surface insights
Measure and optimize the impact of global marketing campaigns through experimentation
Turn complex data into presentations for non-technical stakeholders
Work with data engineering teams to define and secure data needed for models
Build robust forecasting models across streaming, audience growth, and commercial performance
Detect anomalies and surface actionable insights from large-scale streaming and engagement data
measure and optimize the impact of our global marketing campaigns, using experimentation and data driven insights
Transform complex data into compelling stories via tailor-made presentations
Interact directly with data engineering teams to identify, define, and secure the data needs required for your mathematical models
Experience: 5+ years of hands-on DS experience post-BS, or 3+ years of post-Graduate Degree hands-on DS experience
Who You Are - Education: Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field. - Experience: 5+ years of hands-on DS experience post-BS, or 3+ years of post-Graduate Degree hands-on DS experience
- Education: Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field. - Experience: 5+ years of hands-on DS experience post-BS, or 3+ years of post-Graduate Degree hands-on DS experience - Technical Stack: 5+ years of hands-on experience working with R, Python, and SQL.
Open 7 monthsWe first saw this posting 213 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 213
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Warner Music Group’s usual: its jobs come down by about day 50.
From 11,783 similar postings that came down, and 7 of Warner Music Group’s. Coming down is not always a hire.
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- Experience: 5+ years of hands-on DS experience post-BS, or 3+ years of post-Graduate Degree hands-on DS experience - Technical Stack: 5+ years of hands-on experience working with R, Python, and SQL. - Forecasting: At least 5 years of experience building forecasting models across streaming, audience growth, and commercial performance, including evaluating forecast accuracy and continuously improving performance through testing, backtesting, and iteration.
- Stakeholder Collaboration: Proven ability to bridge the gap between technical complexity and business logic, serving as a strategic partner who empowers non-technical teams and leadership to make data-driven decisions. - Data Visualization: At least 5 years of experience communicating complex technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries). Compensation: This position offers a base salary $105,000 - $140,000 CAD. In addition to base salary, this role is eligible for a performance based annual bonus.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
The Role
Music is driven by fans, and our data tells their story. We’re looking for a passionate Data Scientist to dive into the massive cultural waves happening across major streaming platforms.
In this role you’ll be translating billions of signals into the heartbeat of our listeners. Using advanced statistical methods and machine learning, you’ll uncover hidden listener behaviors, build predictive models for artist and commercial performance, and forecast what fans want next. You’ll also measure and optimize the impact of our global marketing campaigns, using experimentation and data driven insights to understand what truly drives engagement.
If you’re excited to turn complex data into cultural insight and real world impact, this is the place for you.
Advanced Forecasting & Modeling: Build robust forecasting models across streaming, audience growth, and commercial performance. Support comprehensive forecasting efforts across deal risk, merchandise, and demand planning.
Audience Insights & Analytics: Gather and analyze audience data to establish best practices for capturing music listening preferences. Detect anomalies and surface actionable insights from large-scale streaming and engagement data.
Hypothesis Testing & Storytelling: Transform complex data into compelling stories via tailor-made presentations. Develop new hypothesis testing frameworks and decision-making tools for the real-time assessment of audience viewing patterns and music delivery streams.
Cross-Functional Collaboration: Partner with local affiliates, labels, international teams, and Global Technology. You will also collaborate closely with our merchandising teams and business stakeholders to deliver critical reporting and inference.
Data Engineering Integration: Interact directly with data engineering teams to identify, define, and secure the data needs required for your mathematical models.
Education: Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field.
Experience: 5+ years of hands-on DS experience post-BS, or 3+ years of post-Graduate Degree hands-on DS experience
Technical Stack: 5+ years of hands-on experience working with R, Python, and SQL.
Forecasting: At least 5 years of experience building forecasting models across streaming, audience growth, and commercial performance, including evaluating forecast accuracy and continuously improving performance through testing, backtesting, and iteration.
Marketing & Audience Models: At least 5 years of experience using advertising data to build marketing mix models (measuring the incremental impact of ads/campaigns using techniques like multi-linear regression and Hierarchical Bayes).
Targeting & Behavior: At least 5 years of experience building targeting models, including propensity scoring and look-alike modeling, to develop actionable insights into audience behavior.
Production ML: At least 5 years of experience successfully deploying machine learning models into a production environment.
Stakeholder Collaboration: Proven ability to bridge the gap between technical complexity and business logic, serving as a strategic partner who empowers non-technical teams and leadership to make data-driven decisions.
Data Visualization: At least 5 years of experience communicating complex technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries).
105,000 – 140,000 CAD per year
Full-Time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Data Visualization: At least 5 years of experience communicating complex technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries). Compensation: This position offers a base salary $105,000 - $140,000 CAD. In addition to base salary, this role is eligible for a performance based annual bonus. Vacancy Status: This posting is for an active, existing vacancy.
Salary 105,000 – 140,000 CAD per year As the home to 10K Projects, Asylum, Atlantic Music Group, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalog of more than one million copyrights worldwide. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.
Ontario
Working pattern and location restrictions need checking in the full posting.
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