Hiring: Data Scientist - Music Mission Company: Spotify Location: New York, NY Job Posted Time: 2026-09-09 17:56:37 Employment Type: Full-time Target Skills & Keywords: Data Science, Machine Learning, A/B Testing, Experimentation, Causal Inference, Model Evaluation, Recommendation Systems, Advertising Measurement, Python, SQL, BigQuery, dbt, Data Storytelling, KPI Definition, Dashboards, Cross-functional Collaboration Experience: - 4+ years of experience in a data science role - Degree in data science, statistics, economics, mathematics, or a related quantitative field - Experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions - Experience evaluating machine learning model performance and partnering with ML engineers - Experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale Required Skills: - Design and implement A/B tests with appropriate rigor - Evaluate machine learning model performance and drive improvements - Strong data science fundamentals: Python, SQL, BigQuery, dbt - Data storytelling and clear communication of complex statistical concepts - Build, maintain, and evolve dashboards tracking model health and customer metrics - Conduct deep-dive analyses and translate findings into actionable recommendations - Collaborate with product managers, engineers, and cross-functional partners Qualifications: - Comfortable working in a highly technical environment and collaborating closely with engineering partners - Ability to communicate complex statistical concepts clearly to technical and non-technical audiences - Experience working within cross-functional product teams - Analytical lead mindset for an ML squad focused on measurement and campaign optimization Compensation: - Base range: $116,994 - $167,135 USD, plus equity - Benefits include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!