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Data Scientist - Discovery Mode

3 months ago
United States
Full-time
Mid Level
Data Scientist
Data Science and Analytics
dbt GCP Machine Learning Python SQL
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Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006
View All Jobs 19

Description

  • Own the analytical function for the Discovery Mode ML squad and drive evaluation of model performance and campaign optimization.
  • Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model reliability and customer impact.
  • Design and execute 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 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 raising the bar for analytics across Discovery Mode.

Requirements

  • 4+ years of experience in a data science role.
  • 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.
  • Experience designing and implementing A/B tests and interpreting results with appropriate rigor.
  • Experience evaluating machine learning model performance and partnering with ML engineers to improve outcomes.
  • Comfort working in a highly technical environment and collaborating closely with engineering partners.
  • Ability to communicate complex statistical concepts clearly to both 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 (preferred).

Benefits

  • Base salary range of $116,994 - $167,135 USD per year, plus equity.
  • Health insurance.
  • Six-month paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • Paid flexible holidays.
  • Paid sick leave.
  • Flexible work location within the EST timezone region.

Interested in this position?

Apply directly on the company website

Apply Now

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