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HomeCompaniesSpotifyData Scientist - Subscriptions

Data Scientist - Subscriptions

Spotify · New York, NY · Hybrid · Deleted · Lever

Job facts

FieldValue
CompanySpotify
TitleData Scientist - Subscriptions
Normalized title-
Department / teamData and Analytics / Subscriptions R&D
LocationNew York, NY, United States
Work modelHybrid / Hybrid
Employment typePermanent
Salary-
Statusdeleted
ATS providerLever
Posted / first seen2026-04-16 / 2026-05-29
Changed / last seen2026-06-13 / 2026-06-11

Related slices

PageWhat it containsOpen
Company jobsActive postings from Spotify.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Data and Analytics.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySpotify
Source8f76458c-d40f-4324-bb14-bb757d1b7058
ATS providerLever

Description

The Subscriptions team drives how Spotify grows by building compelling ways for listeners to experience and pay for Premium. We focus on creating the right plans, pricing, and value so that millions of listeners choose Spotify every day—and keep coming back. You’ll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners—and how we can make it even better. We look at what drives people to subscribe, what keeps them engaged, and how we can continuously improve the Premium experience. You’ll work closely with Product, Engineering, Design, and Research to shape decisions that impact millions of users around the world. The United States base range for this position is $116 995 - $167 135, 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, 13 paid flexible holidays. 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. What You'll Do Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement. Design and analyze experiments to understand the impact of new features and product changes. Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output. Define and track meaningful metrics that reflect the health and value of the Premium experience. Develop dashboards and tools that help teams monitor performance and make informed decisions. Investigate user behavior trends and bring forward insights that shape product direction. Partner closely with cross-functional teams to align on goals and translate data into action. Communicate insights clearly to a wide range of audiences, including senior stakeholders. Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers. Communicate insights clearly to a wide range of audiences, including senior stakeholders. Who You Are You have 4+ years of experience in data science or analytics, working with product or business teams. You bring a strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience. You are confident working with large datasets and have strong skills in SQL and Python. You have experience designing and analyzing experiments and understand how to measure impact with rigor. You are comfortable owning projects end-to-end, from framing the problem to delivering actionable insights. You have experience applying AI or automation in analytics workflows by integrating LLM’s to streamline multi-step analyses. You communicate complex ideas in a clear, structured and engaging way. You are curious, proactive, and comfortable working in a fast-moving environment with some ambiguity. You enjoy collaborating across teams and building strong working relationships. You have experience in consumer products, subscriptions, or monetization-focused environments. Where You'll Be This role is ideally based in New York City, United States. 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.

Full job record

Job ID38f56986278f8c5530cc0ab21014c7047228f55e
Org ID72fe3b06-0d08-4f7d-9dfd-beedeeda0a25
Source ID8f76458c-d40f-4324-bb14-bb757d1b7058
Board ID8f76458c-d40f-4324-bb14-bb757d1b7058
Providerlever
Provider Job Key1bd333fe-a039-4aa7-9a84-941296bbe86b
TitleData Scientist - Subscriptions
Normalized Title
Statusdeleted
Activeno
Location TextNew York, NY
DepartmentData and Analytics
TeamSubscriptions R&D
Employment TypePermanent
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/spotify/1bd333fe-a039-4aa7-9a84-941296bbe86b
Apply URLhttps://jobs.lever.co/spotify/1bd333fe-a039-4aa7-9a84-941296bbe86b/apply
First Seen At2026-05-29 07:00:52Z
Last Seen At2026-06-11 07:57:41Z
Last Checked At2026-06-13 07:56:34Z
Last Changed At2026-06-13 07:56:34Z
Inactive At2026-06-13 07:56:34Z
Source Posted At2026-04-16 09:20:24Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=spotify/date=2026-06-11/2026-06-11T07-57-41-204Z-d2467de020f0612ade000a32ed8bc022b7fa5b1fe62f93ba01f2e7ca1da3bf53.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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