[All remote jobs](https://jobicy.com/jobs.md)[![Spotify logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/03/Jobicy-210328105941-289246.jpg)](https://jobicy.com/company/spotify.md)[Spotify](https://jobicy.com/company/spotify.md) # Data Scientist – Music Promotion Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/spotify.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 94,584–135,121 / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished1 Nov 2026Apply before1 Dec 2026Listing views48Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Spotify is seeking a Data Scientist to support Discovery Mode, a music-promotion product that helps artists and labels reach listeners through personalized playlists. The role centers on product analytics, experimentation, customer engagement insights, reporting, instrumentation, and dashboards for a self-service product. The successful candidate will partner closely with product, engineering, research, design, and marketing stakeholders to define metrics and convert analysis into product decisions. Strong hands-on capability in Python, SQL, BigQuery, dbt, Tableau, and experimental design is required, alongside clear data storytelling. The position is based in Spotify's New York office and operates with an Eastern Time collaboration schedule. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior-level product data science role requiring rigorous experimentation, robust metric design, and practical fluency across a modern analytics stack. The candidate must also influence cross-functional product decisions by translating sophisticated findings into clear recommendations. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$114,852.50US market range (per year)$100k–$150k0$165k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a US base-pay range of $94,584–$135,121 USD. The yearly cadence is inferred from the range's scale, US location, and permanent full-time professional context, rather than explicitly stated. A reasonable estimated US market range for a product-focused Data Scientist with this analytics and experimentation scope is $100,000–$150,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[Experiment design](https://jobicy.com/jobs?search_keywords=Experiment%20design.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[BigQuery](https://jobicy.com/jobs?search_keywords=BigQuery.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Tableau](https://jobicy.com/jobs?search_keywords=Tableau.md)[Dashboard development](https://jobicy.com/jobs?search_keywords=Dashboard%20development.md)[Metric design](https://jobicy.com/jobs?search_keywords=Metric%20design.md)[Exploratory data analysis](https://jobicy.com/jobs?search_keywords=Exploratory%20data%20analysis.md)[Data storytelling](https://jobicy.com/jobs?search_keywords=Data%20storytelling.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Customer engagement analytics](https://jobicy.com/jobs?search_keywords=Customer%20engagement%20analytics.md)[Music industry analytics](https://jobicy.com/jobs?search_keywords=Music%20industry%20analytics.md) Sample interview questionsHow would you define success metrics for Discovery Mode?I would begin by aligning with product and artist-facing stakeholders on the intended customer and listener outcomes. I would define a metric tree with primary outcomes such as incremental listener reach or artist engagement, supporting adoption and retention metrics, and guardrails for listener satisfaction, recommendation quality, and unintended concentration of exposure. Describe how you would evaluate a new promotion feature using an experiment. I would state a clear hypothesis, define eligibility and randomization, select primary and guardrail metrics, and estimate sample size before launch. After validating experiment integrity, I would analyze treatment effects, relevant segments, uncertainty, and potential trade-offs, then communicate a decision recommendation with limitations. How would you build a reporting dashboard for artists and labels? I would first conduct stakeholder research to identify decisions users need to make and prioritize a small set of trusted, actionable metrics. I would establish documented metric definitions and reliable transformed data models in dbt, then build intuitive Tableau views with appropriate filters, comparisons, freshness indicators, and data-quality monitoring. How do you translate complex analytical findings for nontechnical product partners? I lead with the decision, customer implication, and recommended action rather than methodology. I use simple visuals and plain language to explain effect size and uncertainty, while making the detailed assumptions and analysis available for stakeholders who need deeper technical context. What would you investigate if artists adopted Discovery Mode but did not return to use it? I would segment the funnel by artist type, campaign setup, catalog characteristics, perceived results, and time to first value. I would combine behavioral analysis with qualitative feedback to determine whether the issue is product usability, insufficient reporting clarity, weak performance, eligibility constraints, or a mismatch between the feature and customer goals. Opportunity details ## About this role. The Music Mission enables Music creators to grow, engage & monetize their fan bases on Spotify. Central to the Music Mission’s vision is the development of promotional tools for artist and label teams, powered by Spotify’s deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos and Clips enable artists and their teams to grow, monetize and connect with their audience. We’re looking for a Data Scientist to join Discovery Mode, part of the Music Mission. Discovery Mode helps artists and music marketers reach new listeners when it matters most. Artists and labels flag priority songs, and our system feeds that signal into the algorithms behind personalized playlists. In this role, you’ll partner with product, engineering, and user research to build the technology that powers Discovery Mode. Your focus will be customer engagement and reporting — understanding what customers need, building instrumentation and dashboards for our self-serve product, and running experiments that improve the experience and drive business impact. As part of the Product Insights team, you’ll help define the next generation of promotion products for the music industry. ### What You’ll Do * Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists. * Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully. * Define metrics and build the dashboards we use to measure the health and success of our products. * Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products. * Contribute to a community of data scientists by evolving best practices and learning new skills. * Maintain a culture of rigor and data-informed decision-making to drive tangible business impact. ### Who You Are * Demonstrated ability in a similar Data Science role. * Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field. * You have experience with product analytics, including crafting success metrics, performing exploratory analysis and presenting findings with clear product recommendations or implications. * You have experience as a Data Scientist using experimentation to drive product development. * You have hands-on experience synthesizing insights from data using tools such as Python, DBT, BigQuery, SQL, Tableau. * Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms. * You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence product or feature decisions. * Bonus if you have experience with advertising. ### Where You’ll Be * This role is based in our New York office. * This team operates within the Eastern Standard time zone for collaboration. ### Compensation ### Additional Information The United States base range for this position is $ 94,584 – $ 135,121 USD, plus equity. The 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. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know – we’re here to support you in any way we can. Show more [Apply now >](https://jobicy.com/jobs/158377-data-scientist-music-promotion-2.md) * ![Upload CV](data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2NSIgaGVpZ2h0PSI2NSIgZmlsbD0ibm9uZSIgeG1sbnM6dj0iaHR0cHM6Ly92ZWN0YS5pby9uYW5vIj48ZyBjbGlwLXBhdGg9InVybCgjQSkiPjxwYXRoIGQ9Ik0wIDBINjVWNjVIMFYwWiIgZmlsbD0iIzAyOWFlYiIvPjxnIGZpbGw9IiNmZmYiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIyIj48cGF0aCBkPSJNMzMuMDQ5IDE1LjQ1NGExLjQzIDEuNDMgMCAwIDAtMi4wOTcgMGwtNy41NzkgOC4xNDdhMS4zOCAxLjM4IDAgMCAwIC4wOSAxLjk3MyAxLjQ0IDEuNDQgMCAwIDAgMi4wMDgtLjA4OGw1LjEwOS01LjQ5MnYyMC42MWExLjQxIDEuNDEgMCAwIDAgMS40MjEgMS4zOTdjLjc4NSAwIDEuNDIxLS42MjUgMS40MjEtMS4zOTd2LTIwLjYxbDUuMTA5IDUuNDkyYTEuNDQgMS40NCAwIDAgMCAyLjAwOC4wODggMS4zOCAxLjM4IDAgMCAwIC4wOS0xLjk3M2wtNy41NzktOC4xNDZ6TTE2Ljc2OSAzOC40YzAtLjc3My0uNjItMS40LTEuMzg1LTEuNFMxNCAzNy42MjcgMTQgMzguNHYuMTAybC4yMTUgNi4yMjljLjIyMyAxLjY4LjcwMSAzLjA5NSAxLjgxMyA0LjIxOHMyLjUxIDEuNjA3IDQuMTcyIDEuODMzYzEuNi4yMTggMy42MzYuMjE4IDYuMTYuMjE4aDExLjI4bDYuMTYtLjIxOGMxLjY2Mi0uMjI2IDMuMDYxLS43MDkgNC4xNzItMS44MzNzMS41ODktMi41MzggMS44MTMtNC4yMThDNTAgNDMuMTEzIDUwIDQxLjA1NSA1MCAzOC41MDNWMzguNGMwLS43NzMtLjYyLTEuNC0xLjM4NS0xLjRzLTEuMzg1LjYyNy0xLjM4NSAxLjRsLS4xOSA1Ljk1OGMtLjE4MiAxLjM3LS41MTUgMi4wOTUtMS4wMjYgMi42MTJzLTEuMjI4Ljg1My0yLjU4MyAxLjAzOGMtMS4zOTUuMTktMy4yNDMuMTkzLTUuODkzLjE5M0gyNi40NjJjLTIuNjUgMC00LjQ5OC0uMDAzLTUuODkzLS4xOTMtMS4zNTUtLjE4NC0yLjA3Mi0uNTIxLTIuNTgzLTEuMDM4cy0uODQ0LTEuMjQyLTEuMDI2LTIuNjEyYy0uMTg3LTEuNDEtLjE5MS0zLjI3OS0uMTkxLTUuOTU4eiIvPjwvZz48L2c+PGRlZnM+PGNsaXBQYXRoIGlkPSJBIj48cGF0aCBmaWxsPSIjZmZmIiBkPSJNMCAwaDY1djY1SDB6Ii8+PC9jbGlwUGF0aD48L2RlZnM+PC9zdmc+) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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