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

Requirements

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

Benefits

health insurance
six month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
13 paid flexible holidays
paid sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonA/B testingcausal inferenceadvanced statistical methodsmachine learning systemsdata explorationdata analysisdashboard developmentsuccess metrics

Soft Skills

product intuitionresults-focused perspectivestrong judgmentcommunicationcollaborationanalytical thinkingproblem-solvingadaptabilitycreativitymotivation