In short
Spotify seeks a Data Scientist for the Discovery Mode ML squad to own analytical functions, drive model evaluation, and improve customer impact. You will partner with product managers and ML engineers to design experiments, build analytical foundations, and translate findings into actionable recommendations for product and business stakeholders.
Responsibilities
- 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
- 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
- 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
Desired Qualifications
- You communicate complex statistical concepts clearly to both technical and non-technical audiences
Benefits
- The United States base range for this position is $116,994 - $167,135 USD, 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
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
#Data Science#Machine Learning#Analytics#Product Insights#Experimentation#Measurement#Recommendation Systems#Causal Inference#Advertising Measurement
Company
Spotify
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
Remote
Experience Level
Mid-Senior
Locations
New York, United States
Applicants
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