Data Scientist

🕒 April 13

🇨🇦 Canada – Remote

💵 $105k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 45%

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Warner Music Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1920

📱 Media

💰 Post-IPO Debt on 2021-10

Media

Warner Music Group is a global music company that forms a collective of music creators and enthusiasts. The company is involved in recorded music, music publishing, and media brand development. Warner Music Group is dedicated to championing the individuality of artists and songwriters, empowering them through its iconic labels and distinctive brands. It hosts a wide variety of artists and is known for its commitment to creative freedom and limitless possibilities in the music industry.

📋 Description

• Build robust forecasting models across streaming, audience growth, and commercial performance • Support 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 • Transform complex data into compelling presentations and develop hypothesis-testing frameworks • Create decision-making tools for real-time assessment of audience viewing patterns and music delivery streams • Partner with local affiliates, labels, international teams, Global Technology, merchandising teams, and business stakeholders • Deliver critical reporting and inference • Work with data engineering teams to identify, define, and secure data required for mathematical models • Use statistical methods, machine learning, experimentation, and data-driven insights to uncover listener behaviors, predict artist and commercial performance, and optimize global marketing campaigns

🎯 Requirements

• Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field • 5+ years of hands-on data science experience post-BS, or 3+ years of post-Graduate Degree hands-on data science experience • 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 • Experience evaluating forecast accuracy and improving performance through testing, backtesting, and iteration • At least 5 years of experience using advertising data to build marketing mix models, including techniques like multi-linear regression and Hierarchical Bayes • At least 5 years of experience building targeting models, including propensity scoring and look-alike modeling • At least 5 years of experience successfully deploying machine learning models into a production environment • Proven ability to bridge technical complexity and business logic for non-technical teams and leadership • At least 5 years of experience communicating complex technical concepts using data visualizations such as matplotlib or ggplot2

🏖️ Benefits

• Performance based annual bonus • Equal opportunity and inclusion and diversity commitment

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