Why This Job is Featured on The SaaS Jobs
This Data Scientist role sits at the intersection of product analytics and the creator economy, a SaaS-adjacent space where subscription, monetization, and retention mechanics are tightly linked to product design. Supporting Spotify for Creators features such as comments, analytics, and partner programs signals work on a multi-sided platform where creator tooling and end-user consumption are connected through measurable product loops.
For a SaaS career, the role emphasizes durable skills: defining success metrics, building monitoring and dashboards, and translating exploratory analysis into product strategy. Close collaboration with product, engineering, design, research, and marketing reflects how modern SaaS organizations operationalize data—less as back-office reporting and more as an input to prioritization, iteration, and ongoing performance management. Experience in creator monetization also transfers well to other SaaS domains that rely on marketplace dynamics or usage-based value.
This position is best suited to someone who prefers applied, product-facing data science and is comfortable influencing decisions through clear narratives and rigorous measurement. It will fit professionals who enjoy cross-functional work, can move between ambiguity and structured evaluation, and want their analytics practice anchored in real product outcomes rather than isolated modeling.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
The Spotify Podcast R&D team consists of Data Scientists, Analytics Engineers and User Researchers dedicated to improving the experience of podcasts for both creators and users of the platform. This role will support our Product team in evaluating the performance of exciting features from Spotify for Creators like Podcast Comments, Creator Analytics, and the Spotify Partner Program (to name a few).
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What You'll Do - Develop research questions and undertake data exploration to understand creator monetization, and where we can develop our products to bring greater value to creators.
- Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop and improve monetization tools for creators.
- Define, evaluate, dashboard, and monitor metrics, understanding the root causes of changes.
- Communicate insights and recommendations to collaborators across Spotify to build out our product strategy.
- Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.
- Contribute to the development of the Insights function and the wider analytics community at Spotify.
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.
- Deeply curious; interested in the current and future creator ecosystem.
- You have experience with product analytics, including crafting success metrics, performing exploratory analysis and presenting findings with clear product recommendations or implications.
- 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.
Where You'll Be- This role is based in our New York office.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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The United States base range for this position is $ 94,584 - $ 135,121, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
