Data Scientist

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. Using advanced statistical methods and machine learning, you’ll uncover hidden listener behaviors, build predictive models for artist and commercial performance, and forecast what fans want next. You’ll also measure and optimize the impact of our global marketing campaigns, using experimentation and data driven insights to understand what truly drives engagement.

If you’re excited to turn complex data into cultural insight and real world impact, this is the place for you.

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.

Audience Insights & Analytics: 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.

Hypothesis Testing & Storytelling: Transform complex data into compelling stories via tailor-made presentations. 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.

Data Engineering Integration: Interact directly with data engineering teams to identify, define, and secure the data needs required for your mathematical models.

Education: Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field.