Warner Music Inc.

Data Scientist

Ontario

Sponsorship not specifiedCAD 105k-CAD 140kDetected 99 days ago

PythonMachine LearningData EngineeringData ScienceData VisualizationMLOpsStatisticsA/B TestingForecastingLeadershipCollaboration

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.

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.

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.
5+ years of hands-on DS experience post-BS, or 3+ years of post-Graduate Degree hands-on DS experience
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.
At least 5 years of experience communicating complex technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries).
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.

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.
Transform complex data into compelling stories via tailor-made presentations.

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.

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.
Here, we turn dreams into stardom and audiences into fans.
We are guided by three core values that underpin everything we do across all our diverse businesses:
Independent Minds.
Major Sound.
Love this job and want to apply?
Click the "Apply" link at the top of the page, or apply directly with your LinkedIn.
Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter.
Don't be discouraged if you don't hear from us right away.
We're taking our time to review all resumes, and to find the best people for WMG.
Thanks for your interest in working for WMG.
We love it here, and think you will, too.
WMG is committed to inclusion and diversity in all aspects of our business.
We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law.

This listing is sourced directly from Warner Music Inc.'s careers page and normalized into a canonical job model.