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Data Scientist - Discovery Mode
Data Scientist leading analytics for Spotify's Discovery Mode ML squad. Designs experiments, builds evaluation frameworks, and partners with ML engineers to improve model performance and customer outcomes.
New York, NYData ScienceRemote4+ YOE
About the role
What You'll Do
- 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
Who You Are
- 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
- Experience designing and implementing A/B tests, understanding when experimentation is the right tool, and interpreting 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
Skills
PythonSQLBigQuerydbtA/B TestingMachine Learning Model EvaluationExperimentationCausal InferenceData StorytellingKpi Definition
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