Warner Music Inc. - Inc.

• Education: Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field. • Experience: 2 to 6 years of professional experience in data science, analytics, or a related field (leveling will be calibrated based on tenure and technical depth). • Technical Stack: 2 to 6 years of hands-on experience working with R, Python, and SQL. • Forecasting: At least 2 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 2 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 2 years of experience building targeting models, including propensity scoring and look-alike modeling, to develop actionable insights into audience behavior. • Production ML: At least 2 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 2 years of experience communicating complex technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries). • $95,000 - $140,000 a year • Compensation: This position offers a base salary of $95,000 - $120,000 CAD for L3 and $105,000 - $140,000 CAD for L4. 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. • Note: We welcome applicants with 2 to 6 years of experience. Your exact scope and internal level (L3 or L4) will be determined during the interview process, driven by your unique technical proficiency, background, and the scale of the projects you've owned. • 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. • Together, we are Warner Music Group: 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. • 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. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.