Home › Companies › Spotify › Data Scientist - Subscriptions
Data Scientist - Subscriptions
Spotify · New York, NY · Hybrid · Deleted · Lever
Job facts
| Field | Value |
|---|---|
| Company | Spotify |
| Title | Data Scientist - Subscriptions |
| Normalized title | - |
| Department / team | Data and Analytics / Subscriptions R&D |
| Location | New York, NY, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Permanent |
| Salary | - |
| Status | deleted |
| ATS provider | Lever |
| Posted / first seen | 2026-04-16 / 2026-05-29 |
| Changed / last seen | 2026-06-13 / 2026-06-11 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Spotify. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Data and Analytics. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Spotify |
| Source | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| ATS provider | Lever |
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 ID | 38f56986278f8c5530cc0ab21014c7047228f55e |
| Org ID | 72fe3b06-0d08-4f7d-9dfd-beedeeda0a25 |
| Source ID | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| Board ID | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| Provider | lever |
| Provider Job Key | 1bd333fe-a039-4aa7-9a84-941296bbe86b |
| Title | Data Scientist - Subscriptions |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | New York, NY |
| Department | Data and Analytics |
| Team | Subscriptions R&D |
| Employment Type | Permanent |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/spotify/1bd333fe-a039-4aa7-9a84-941296bbe86b |
| Apply URL | https://jobs.lever.co/spotify/1bd333fe-a039-4aa7-9a84-941296bbe86b/apply |
| First Seen At | 2026-05-29 07:00:52Z |
| Last Seen At | 2026-06-11 07:57:41Z |
| Last Checked At | 2026-06-13 07:56:34Z |
| Last Changed At | 2026-06-13 07:56:34Z |
| Inactive At | 2026-06-13 07:56:34Z |
| Source Posted At | 2026-04-16 09:20:24Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=spotify/date=2026-06-11/2026-06-11T07-57-41-204Z-d2467de020f0612ade000a32ed8bc022b7fa5b1fe62f93ba01f2e7ca1da3bf53.json |
Event Fields
{
"content_hash": "c115a43ef223ba16a668ec4fb49d1b99bcc52d43191a8402288213462887cce3",
"source_hash": "daca70f174c2bfd120075f566d4899d437f364cf685d357802c6aa988bd452c4",
"last_changed_at": "2026-06-13T07:56:34.578Z",
"active_status": "deleted"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "New York, NY",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-11T07:57:41.775Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "New York, NY",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": null,
"workplace_type": "hybrid",
"salary_currency": null
}Extensions
{}Native Structured
{
"lists": [
{
"text": "What You'll Do",
"content": "<div>\n<div>\n\n<li role=\"presentation\">Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement.</li>\n<li role=\"presentation\">Design and analyze experiments to understand the impact of new features and product changes.</li>\n<li role=\"presentation\">Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.</li>\n<li role=\"presentation\">Define and track meaningful metrics that reflect the health and value of the Premium experience.</li>\n<li role=\"presentation\">Develop dashboards and tools that help teams monitor performance and make informed decisions.</li>\n<li role=\"presentation\">Investigate user behavior trends and bring forward insights that shape product direction.</li>\n<li role=\"presentation\">Partner closely with cross-functional teams to align on goals and translate data into action.</li>\n<li role=\"presentation\">Communicate insights clearly to a wide range of audiences, including senior stakeholders.</li>\n<li role=\"presentation\">Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers.</li>\n<li role=\"presentation\">Communicate insights clearly to a wide range of audiences, including senior stakeholders.</li>\n\n<span id=\"gmail-docs-internal-guid-2630ff52-7fff-177d-1b6f-bae35f69a7aa\"></span></div>\n</div>"
},
{
"text": "Who You Are",
"content": "<div>\n\n<li role=\"presentation\">You have 4+ years of experience in data science or analytics, working with product or business teams.</li>\n<li role=\"presentation\">You bring a strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience.</li>\n<li role=\"presentation\">You are confident working with large datasets and have strong skills in SQL and Python.</li>\n<li role=\"presentation\">You have experience designing and analyzing experiments and understand how to measure impact with rigor.</li>\n<li role=\"presentation\">You are comfortable owning projects end-to-end, from framing the problem to delivering actionable insights.</li>\n<li role=\"presentation\">You have experience applying AI or automation in analytics workflows by integrating LLM’s to streamline multi-step analyses.</li>\n<li role=\"presentation\">You communicate complex ideas in a clear, structured and engaging way.</li>\n<li role=\"presentation\">You are curious, proactive, and comfortable working in a fast-moving environment with some ambiguity.</li>\n<li role=\"presentation\">You enjoy collaborating across teams and building strong working relationships.</li>\n<li role=\"presentation\">You have experience in consumer products, subscriptions, or monetization-focused environments.</li>\n\n</div>"
},
{
"text": "Where You'll Be",
"content": "\n<li><span style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">This role is ideally based in New York City, United States.</span></li>\n<li><span style=\"font-size: 11pt; font-family: 'Proxima Nova', sans-serif;\">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.</span></li>\n"
}
],
"country": "US",
"createdAt": 1776331224092,
"updatedAt": null,
"categories": {
"team": "Subscriptions R&D",
"location": "New York, NY",
"commitment": "Permanent",
"department": "Data and Analytics",
"allLocations": [
"New York, NY"
]
},
"salaryRange": null,
"workplaceType": "hybrid"
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/38f56986278f8c5530cc0ab21014c7047228f55e?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/72fe3b06-0d08-4f7d-9dfd-beedeeda0a25JSONGET https://api.bluedoor.sh/job-postings/v1/sources/8f76458c-d40f-4324-bb14-bb757d1b7058JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/38f56986278f8c5530cc0ab21014c7047228f55e/eventsJSON