> Markdown version of [/jobs/ext/616526-data-scientist-discovery-mode](https://www.wearedevelopers.com/jobs/ext/616526-data-scientist-discovery-mode). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Discovery Mode - **Company:** Spotify - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $116,994.0 - $167,135.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, BigQuery, Data Presentation, Python (Programming Language), Recommender Systems, SQL Databases, Statistics Packages - **Published:** June 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=27df53ca0af179be ## About the Role Do you have experience in Statistical analysis tools?, * You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field * You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions * You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor * You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes * You are comfortable working in a highly technical environment and collaborating closely with engineering partners * You communicate complex statistical concepts clearly to both technical and non-technical audiences * You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams * You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale ## Description We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products. 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Sound of Privacy – What Your Spotify Data Reveals About You](https://www.wearedevelopers.com/videos/100346-the-sound-of-privacy-what-your-spotify-data-reveals-about-you) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)