[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 levelPublished3 Oct 2026Apply before2 Nov 2026Listing views47Application actions4Application 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, customer engagement reporting, instrumentation, dashboard development, and experimentation. This person will partner closely with product, engineering, research, design, and marketing stakeholders to identify opportunities and improve product outcomes. Core tools include Python, SQL, DBT, BigQuery, and Tableau, with strong storytelling and stakeholder communication required. The position is based in Spotify's New York office and collaborates primarily in the Eastern Standard Time zone. ## 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 technically demanding product data science role requiring rigorous experimentation, metric design, data tooling, and actionable analysis. The role also requires translating complex findings into clear recommendations that influence cross-functional product decisions. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$114,853US market range$95k–$145k0$160k AI insightThe disclosed US base salary range is $94,584 to $135,121 USD yearly, with a midpoint of $114,852.50. This sits within a reasonable US market range of approximately $95,000 to $145,000 for a mid-level product data scientist, with New York market conditions and relevant product experimentation experience supporting the upper end; equity is additional and excluded from the base-salary calculation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.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)[DBT](https://jobicy.com/jobs?search_keywords=DBT.md)[BigQuery](https://jobicy.com/jobs?search_keywords=BigQuery.md)[Tableau](https://jobicy.com/jobs?search_keywords=Tableau.md)[Dashboard development](https://jobicy.com/jobs?search_keywords=Dashboard%20development.md)[Data storytelling](https://jobicy.com/jobs?search_keywords=Data%20storytelling.md) Sample interview questionsHow would you define success metrics for Discovery Mode?I would start by aligning metrics to the product's value for artists, labels, listeners, and Spotify. I would define a north-star outcome such as incremental qualified listener engagement, then pair it with supporting metrics for adoption, campaign setup completion, downstream listening behavior, and guardrails such as listener satisfaction or negative engagement signals. Describe how you would evaluate whether a promotional feature caused an improvement in listener engagement. I would first clarify the decision and causal question, then design an experiment with a well-defined treatment, control group, eligibility criteria, and primary metrics. I would validate randomization and instrumentation, estimate treatment effects with confidence intervals, assess heterogeneous effects across relevant segments, and communicate both business impact and limitations before recommending a rollout decision. How would you approach building a self-serve reporting dashboard for artist and label customers? I would interview users and internal partners to identify their most important decisions, questions, and reporting cadence. I would define trusted metric specifications, develop reliable modeled data in DBT or BigQuery, create intuitive Tableau views with useful filters and definitions, and monitor adoption and data quality after launch. Tell us about a time you turned exploratory analysis into a product recommendation. In a strong example, I would explain the initial business question, the datasets and methods used, and how I identified a meaningful behavioral pattern. I would then describe the recommendation, how I tailored the narrative for product stakeholders, and the resulting experiment, product change, or measurable business outcome. How do you explain a statistically complex result to non-technical stakeholders? I begin with the decision rather than the methodology: what we learned, the expected impact, and the recommended next step. I use plain-language comparisons and visualizations, explain uncertainty honestly, and keep technical details available in an appendix or follow-up discussion for stakeholders who need them. 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. 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