Data Scientist – Discovery Mode

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Spotify

WebsiteLinkedInAll Job Openings

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 the models that power measurement and campaign optimization • Partner with ML engineers to develop evaluation frameworks and identify opportunities to 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 to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders • Build, maintain, and evolve dashboards that track 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 • Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode

🎯 Requirements

• 4+ years of experience in a data science role and a 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 • Design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor • Experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes • Comfortable working in a highly technical environment and collaborating closely with engineering partners • Communicate complex statistical concepts clearly to both technical and non-technical audiences • Strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams • Experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale

🏖️ Benefits

• Flexibility to work where you work best within the EST timezone region