Music Data Scientist: Audience Insights & Forecasting

Warner Music Group; British Columbia; On-site; CAD 105,000 - 140,000; Full time

Job summary

Warner Music Group in Canada’s British Columbia is seeking a data scientist to translate billions of signals into insights about listeners and campaigns. You will build forecasting models for streaming performance, growth, and commercial outcomes, using R, Python, and SQL to inform strategy.

You’ll collaborate with global teams, deliver reporting and inference, and deploy models into production. A Master’s in a quantitative field and 5+ years of hands-on DS experience are expected, along with

Qualifications

• Education: Master’s degree in a quantitative field (Statistics, Economics, Mathematics).
• 5+ years DS experience after BS or 3+ years after graduate degree.
• Proficient in R, Python, SQL as a technical stack.

Responsibilities

• Advanced Forecasting & Modeling: build forecasting models for streaming, audience growth, and commercial performance.
• Audience Insights & Analytics: analyze audience data to derive best practices and surface actionable insights.
• Hypothesis Testing & Storytelling: create stories from data and develop testing frameworks for real-time assessment.
• Cross-Functional Collaboration: partner with affiliates, labels, global teams, and stakeholders to deliver reporting.
• Data Engineering Integration: work with data engineering to define and secure data needs for models.

Skills

R

Python

SQL

Forecasting models

Audience modeling

Propensity scoring

Look-alike modeling

Data visualization

Production ML

Stakeholder communication

Education

Master’s degree in Statistics, Economics, Mathematics

Job description

Warner Music Group in Canada’s British Columbia is seeking a data scientist to translate billions of signals into insights about listeners and campaigns. You will build forecasting models for streaming performance, growth, and commercial outcomes, using R, Python, and SQL to inform strategy.

You’ll collaborate with global teams, deliver reporting and inference, and deploy models into production. A Master’s in a quantitative field and 5+ years of hands-on DS experience are expected, along with