Warner Music Group
Data Scientist
Ontario · Senior
Sponsorship not specifiedCAD 105k-CAD 140kDetected 186 days ago
PythonMachine LearningData EngineeringData ScienceData VisualizationMLOpsStatisticsA/B TestingForecastingLeadershipCollaboration
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odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About 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.
Responsibilities
- 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.
- 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.
- 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.
Requirements
- 5+ years of hands-on DS experience post-BS, or 3+ years of post-Graduate Degree hands-on DS experience
- 5+ years of hands-on experience working with R, Python, and SQL.
- 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).
- At least 5 years of experience building targeting models, including propensity scoring and look-alike modeling, to develop actionable insights into audience behavior.
- Data Engineering Integration: Interact directly with data engineering teams to identify, define, and secure the data needs required for your mathematical models.
- 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.
Skills
- Curiosity is the driving force behind creativity and ingenuity.
- It fuels innovation, and innovation is the key to our future.
- Collaboration:
- 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.
- Technology is one of the most important parts of our business.
- WMG is home to a wide range of artists, musicians, and songwriters that fuel our success.
Compensation
- CAD 105k-CAD 140k
Benefits
- Education: Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field.
- Production ML: At least 5 years of experience successfully deploying machine learning models into a production environment.
Company info
- 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.
- We are guided by three core values that underpin everything we do across all our diverse businesses: • Curiosity: We do our best work when we're immersing ourselves in culture and breaking through barriers.
- That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone.
- And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalog of more than one million copyrights worldwide.
- Together, we are Warner Music Group: Independent Minds.
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This listing is sourced directly from Warner Music Group's careers page and normalized into a canonical job model.