Data Scientist

5 hours, 2 minutes ago
Full-time
Senior
Data Science and Analytics
Warner Music Group

Warner Music Group

Warner Music Group (WMG) is a global music entertainment company that encompasses recorded music, music publishing, and artist services. With a rich history spanning over 200 years, WMG is home to iconic record labels and a leading music publisher, rep...

Media
5001+
Founded 1929

Description

  • Build and improve forecasting models for streaming, audience growth, commercial performance, deal risk, merchandise, and demand planning.
  • Analyze large-scale streaming and engagement data to identify listener preferences, anomalies, and actionable audience insights.
  • Develop predictive models for artist performance, commercial outcomes, targeting, and audience behavior.
  • Measure and optimize global marketing campaign impact through experimentation, inference, and marketing analytics.
  • Create hypothesis-testing frameworks and decision-making tools for real-time audience and music-stream analysis.
  • Translate complex analysis into tailored presentations, reporting, and data-driven stories for business stakeholders.
  • Partner with affiliates, labels, international teams, merchandising, Global Technology, and other stakeholders.
  • Work with data engineering teams to define and secure data required for mathematical models.

Requirements

  • Master's degree, or foreign equivalent, in Statistics, Economics, Mathematics, or a closely related quantitative field.
  • 5+ years of hands-on data science experience after a bachelor's degree, or 3+ years after a graduate degree.
  • 5+ years of hands-on experience with R, Python, and SQL.
  • 5+ years of experience building and iterating on forecasting models for streaming, audience growth, and commercial performance.
  • Experience evaluating forecast accuracy through testing, backtesting, and iteration.
  • 5+ years of experience building marketing mix models using advertising data, including techniques such as multilinear regression and Hierarchical Bayes.
  • 5+ years of experience building targeting models, including propensity scoring and look-alike modeling.
  • 5+ years of experience deploying machine-learning models into production.
  • Ability to translate technical complexity into business logic and support non-technical stakeholders and leadership.
  • 5+ years of experience communicating technical concepts through data visualizations using matplotlib, ggplot2, or similar libraries.

Benefits

  • Opportunity to work at a global music company supporting artists, labels, and music-industry partners.
  • Inclusive, equal-opportunity workplace that values diverse backgrounds and experiences.
  • Cross-functional collaboration with global technology, label, affiliate, merchandising, and business teams.

Interested in this position?

Apply directly on the company website

Apply Now

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