Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

We’re looking for a Data Scientist to join Spotify Advertising’s Growth pod—a team of data scientists and analytics engineers focused on unlocking insights and building scalable data products that power advertisers and revenue growth. Our work spans lead scoring, attribution modeling, metric design, experimentation, and causal inference. As we increase investment in paid media and continue scaling automated buying channels, we’re entering our next phase of growth. While we’ve built strong foundations—including multi-touch attribution (MTA), lifetime value model (LTV) and marketing mix modeling (MMM) — there's a significant opportunity to deepen our insights, refine our models, and drive greater impact.

In this role, you’ll help expand and operationalize our marketing science toolkit—expanding model capabilities and ensuring they inform clear, outcome-driven decisions. Your work may span: Marketing Attribution Models, Paid Media Spend Optimization, Growth Analytics, Forecasting & Scenario Modeling, Incrementality & Lift Measurement, Insights Automation & Dashboards, Data Infrastructure & Signal Engineering. You’ll play a key role in turning complex data into scalable solutions that directly influence how we invest, optimize, and grow.