Spotify - Data Scientist, Subscriptions
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Requirements
• You have 3+ years of experience in data science or analytics, ideally at a consumer tech or subscription-based company • You hold a degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (or equivalent experience) • You are proficient in SQL and Python and comfortable working with large-scale datasets • You have experience designing and analyzing A/B tests, with a solid understanding of statistical methods • You are a clear communicator who can translate complex analyses into actionable recommendations • You are curious, proactive, and comfortable navigating ambiguity in a fast-moving business • You enjoy collaborating across teams and are comfortable working in environments that require coordination across multiple stakeholders and workstreams • Where You'll Be • This role is based in New York, Stockholm or London. • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. • The United States base range for this position is $76,840 - $109,771, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, paid sick leave. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Design and analyze experiments to measure the impact of changes to subscription plans and add-on offerings • Define and maintain success metrics for Portfolio initiatives, ensuring alignment across cross-functional partners • Build and maintain dashboards and reporting to monitor the health and performance of subscription plans and new revenue streams • Perform exploratory analyses that uncover growth levers and inform the Portfolio roadmap • Collaborate with Product, Engineering, Design, User Research and other Data Science teams across the Subscriptions Mission • Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership • Use AI-powered tools (e.g., Claude Code, Codex) to accelerate analysis and workflows
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