Spotify

Senior Data Scientist, Artist-First AI Music lab

New York, NY

Actively hiring, first seen by us 1 day ago

Pay: USD 144,714–206,735/yearAnnual period assumed. Plus equity — pay source
This team operates within the US Eastern timezone for collaboration The United States base range for this position is $144,714–$206,735 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.
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Work setting: Not stated
Employment: Permanent — employment source
Employment type Permanent
Employment type in the employer’s posting: Permanent
From the employer’s posting

What you’ll work on

Full posting

Design and run large-scale evaluations of generative music systems
Build metrics and decision systems that define what good AI music looks like
Partner with engineers and researchers to feed evaluation signals into model development
Identify behavioral and market dynamics behind sustainable demand and creator participation
Create datasets, dashboards and long-term measurement systems

From the employer’s posting

Design and run large-scale analyses and evaluations of generative music systems

Build practical, scalable metrics and decision systems that define what "good" looks like for AI music

Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops

Identify the behavioral and market dynamics that shape sustainable consumer demand and creator participation

Create the datasets, dashboards, and long-term measurement systems

What you’ll bring

All qualifications

Core experience

You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities.
You have experience with machine learning frameworks, designing and assessing multimodal or embedding-based models, and validating them against LLM judges or human ground truth, with an understanding of how to evaluate models beyond offline accuracy.

Qualification wording

You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities.

You have experience with machine learning frameworks, designing and assessing multimodal or embedding-based models, and validating them against LLM judges or human ground truth, with an understanding of how to evaluate models beyond offline accuracy.

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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 7, 20261 day ago
Recorded sightings: 1
Employer says posted: Oct 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$145K–$207K against $118K–$194K, the middle half of what similar US postings state.

From 3,761 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 57.

At Spotify, jobs usually come down by about day 39.

From 10,553 similar postings that came down, and 43 of Spotify’s. Coming down is not always a hire.

Spotify is hiring

16 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

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Where the posting names them

- You communicate clearly, form well-founded, evidence-backed points of view, and can bring together messy, multimodal signals (quantitative, qualitative, and model telemetry) into clear narratives for senior executives, researchers, engineers, and the music industry. - You're proficient in advanced analytics with Python and SQL, have analyzed large datasets, and use AI tools (e.g. Cursor, Copilot) to increase your productivity and impact. - You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.

We're looking for a Senior Data Scientist to join the Artist-First AI Music lab. Our team explores and advances generative technologies for music to create new experiences for fans and artists, with a focus on listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.

Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.

Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.

Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will use our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.

For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/

What You'll Do

Lead foundational measurement and insights work for generative music experiences, developing the frameworks that help Spotify understand how creators, listeners, and rights holders engage with generative AI music.
Design and run large-scale analyses and evaluations of generative music systems, from prompt interpretation to model output quality, using Spotify's unique behavioral datasets, annotations, and experimentation platforms.
Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops, debugging workflows, and product iteration, making sure scientific rigor informs technical direction.
Identify the behavioral and market dynamics that shape sustainable consumer demand and creator participation, and translate them into clear strategic recommendations.
Build practical, scalable metrics and decision systems that define what "good" looks like for AI music: credibility, user delight, safety, creator alignment, and ecosystem trust.
Bring together model, user behavior, and ecosystem signals into clear narratives that shape product strategy, cross-functional alignment, and long-term priorities across Spotify.
Create the datasets, dashboards, and long-term measurement systems that give Spotify a lasting, comprehensive understanding of product health and impact.
Work closely with Product, Design, Research, Legal, Trust & Safety, Marketing, Policy, and Licensing teams, bringing statistical rigor and principled measurement to help build artist-first systems that scale responsibly.

Who You Are

You have a track record of using insights to shape strategy for major company initiatives involving many different partners.
You have significant hands-on experience in advanced analytics or data science, ideally in a domain involving LLM evaluation, user-generated content, or complex user behavior.
You communicate clearly, form well-founded, evidence-backed points of view, and can bring together messy, multimodal signals (quantitative, qualitative, and model telemetry) into clear narratives for senior executives, researchers, engineers, and the music industry.
You're proficient in advanced analytics with Python and SQL, have analyzed large datasets, and use AI tools (e.g. Cursor, Copilot) to increase your productivity and impact.
You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities.
You have experience with machine learning frameworks, designing and assessing multimodal or embedding-based models, and validating them against LLM judges or human ground truth, with an understanding of how to evaluate models beyond offline accuracy.
You have a solid grounding in experimental design and causal inference, such as A/B tests, quasi-experiments, and power analysis.
You thrive when tackling loosely defined problems in ambiguous, zero-to-one spaces.

Where You'll Be

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
This team operates within the US Eastern timezone for collaboration

The United States base range for this position is $144,714–$206,735 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.

Employment type

Permanent

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