Spotify06/22/2026

Data Scientist - Music Mission

RUB 9,750–13,928per month · before tax

MARKET

15,900 ₽median for this role

Data Scientist · 115 jobs with disclosed pay

5,000half of the offers: 12,796–20,50043,793

Below market · above 14% of offers

PermanentNew York

Responsibilities

01Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
02Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
03Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
04Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
05Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
06Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
07Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode

01You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field
02You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
03You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor
04You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
05You are comfortable working in a highly technical environment and collaborating closely with engineering partners
06You communicate complex statistical concepts clearly to both technical and non-technical audiences
07You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
08You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale

01We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location
02This team operates within the Eastern Standard time zone for collaboration
03The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave