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Data

Data Scientist - Music Promotion

Spotify · United States · full-time · Remote

Datafull-timeRemoteUnited StatesUSD 94,584 – 135,121 / yearly
Data Science & AnalyticsAny
RemoteJobs editorial overview

Strategic Overview

Data Scientist - Music Promotion at Spotify is defined by the responsibilities and candidate requirements in the employer's listing.

The published role emphasizes work such as 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.

The role is listed for United States with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusData
LocationUnited States
WorkplaceRemote
Employmentfull-time
SalaryUSD 94,584 – 135,121 / yearly
PostedNov 1, 2026
Last seenNov 2, 2026
Role context

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.

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.

What the role delivers

Key Responsibilities & Objectives

  • 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.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 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.
Compensation & benefits

Salary & Benefits

Published compensation: USD 94,584 – 135,121 / yearly

  • 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.
Live market comparison

Salary Benchmark

This role’s published compensation is compared with active employer-disclosed ranges for the same role, in the same currency and pay period.

This jobUSD 94,584 – 135,121 / yearly
Current market range$13,000 – $515,000 · per year
Comparable jobs58

Benchmark uses active employer job postings in our database, excludes this listing, and matches the currency and pay period. It is not a third-party salary estimate; currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly 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. — rather than a generic title alone.

Resume & Application Strategy

For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.

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We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.