At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future. Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build connections across our diverse community of artists, songwriters, partners, and fans. Everything in music starts with a leap into the unknown, and we’re committed to keeping the faith, acting with integrity, and delivering on our promises. Technology is one of the most important parts of our business. Whether it’s signing up recent artists; ensuring we provide theright data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality. Check out first‑hand accounts from the WMG engineering, product, design, infrastructure and data teams in our blog Consider a career at WMG and get the best of both worlds – an innovative global music company that retains the creative spirit of a nimble independent. The RoleMusic 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. 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. Build robust forecasting models across streaming, audience growth, and commercial performance. Support comprehensive forecasting efforts across deal risk, merchandise, and demand planning. 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. Partner with local affiliates, labels, international teams, and Global Technology. Data Engineering Integration: Interact directly with data engineering teams to identify, define, and secure the data needs required for your mathematical models. 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. 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. 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.
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. 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 ali

📌 Data Scientist (Winnipeg)
🏢 Warner Music Group
📍 Winnipeg