
5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
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.
🕒 April 8
🗽 New York – Remote
💵 $107.8k - $154k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
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.
• Perform analyses on large sets of data to extract practical insights • Define data requirements and support the implementation of data specs • Maintain the Spotify Ads Manager’s data and reporting ecosystem • Design and conduct experiments for user and advertiser metrics • Communicate data-driven insights and recommendations
• 3+ years experience in a similar data science role • Technical competence in coding (SQL, Python - packages such as pandas and numpy) • Data visualization skills (Tableau, Looker, matplotlib) • Strong understanding of statistics and machine learning • Ability to explain complex topics in simple terms • Experience working in an analytics role with product, sales, or marketing teams
• Health insurance • Six month paid parental leave • 401(k) retirement plan • Monthly meal allowance • 23 paid days off • 13 paid flexible holidays
Apply Now🕒 April 8
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