Spotify
Media • B2C • eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
Senior Data Scientist – Ads Data Platform
Job not on LinkedIn
October 16
Spotify
Media • B2C • eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
📋 Description
• Partner with product and engineering to understand audience product problems and propose data-driven solutions. • Deliver solutions to challenging, large-scale problems with complexity and ambiguity independently • Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large datasets • Communicate data-driven insights and recommendations to key partners • Work closely with a cross-functional team of product owners, product marketers, and engineers • Prioritize business solutions, regardless of product area
🎯 Requirements
• 5+ years of experience in a similar data science role and a degree in a quantitative subject area • comfortable building and maintaining large, complex datasets • technical competence to perform advanced analytics and data extraction (using SQL, and Python or R) • ability to explain complex concepts to non-technical stakeholders and conduct nuanced discussions with engineers • deep knowledge of statistical inference, preferably including experience with Bayesian methods • experience in experimental design / causal inference • experience taking a project idea and bringing it to life through self-driven scoping, planning, and stakeholder communication • ad tech experience is a plus
🏖️ Benefits
• health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays
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