Data Scientist – Music Mission

🕒 June 22

🗽 New York – Remote

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💵 $117k - $167.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 18%

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Logo of Spotify

Spotify

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.

📋 Description

• Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of models powering measurement and campaign optimization • Partner with ML engineers to develop evaluation frameworks and improve model performance, reliability, and customer impact • Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development • Conduct deep-dive analyses of model performance and translate findings into actionable recommendations for product and business stakeholders • Build, maintain, and evolve dashboards tracking model health, customer metrics, and program performance • Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs • Share best practices and raise the bar for analytics across Discovery Mode • Shape measurement systems for Spotify's Discovery Mode promotion product

🎯 Requirements

• 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 insights to product decisions • Experience designing and implementing A/B tests and interpreting results rigorously • Experience evaluating machine learning model performance and partnering with ML engineers • Comfort working in a highly technical environment with engineering partners • Ability to communicate complex statistical concepts to technical and non-technical audiences • Strong data science fundamentals, including Python, SQL, BigQuery, dbt, and data storytelling • Experience working within cross-functional product teams • Experience in advertising measurement, recommendation systems, experimentation, or causal inference at scale • Ability to work within the EST timezone region with a work location

🏖️ Benefits

• Health insurance • Six-month paid parental leave • 401(k) retirement plan • Monthly meal allowance • 23 paid days off • Paid flexible holidays • Paid sick leave • Equity

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