Data Scientist - Music Mission

What You'll Do

• Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership
• Develop and own success metrics for generative music features and systems
• Design and analyze A/B tests and causal studies to evaluate product and model impact
• Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists
• Build scalable dashboards to monitor feature health and ecosystem impact
• Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality
• Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements
• Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows
• Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions

Who You Are

• You have a degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field (or equivalent experience)
• You bring 4+ years of experience as a Data Scientist influencing product decisions through data
• You’re highly proficient in SQL and Python and comfortable working with large-scale datasets
• You use AI-powered tools (e.g., Cursor, Copilot) to accelerate analysis and workflows
• You have strong product intuition and a results-focused perspective— you seek the “why” behind the data
• You have experience with A/B testing, causal inference and advanced statistical methods, and exercise strong judgment in methodological choices
• You understand machine learning systems and can evaluate models beyond offline metrics, applying human judgment to quality and impact
• You thrive in ambiguous, zero-to-one environments and enjoy defining metrics & opportunities for entirely new product categories
• You’re motivated by creating real value for music fans and music creators

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
• This team operates within the Eastern Standard time zone for collaboration