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Spotify

Data Scientist - Music Promotion at Spotify

Remote, United States Remote Full-time

$94,584–$135,121 / year

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Role overview

An at-a-glance view of the facts included with this Data Scientist - Music Promotion at Spotify listing.

Company
Spotify
Location
Remote, United States
Work arrangement
Remote
Employment type
Full-time
Compensation
$94,584–$135,121 / year

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Role overview

This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.

Spotify is hiring a full-time Data Scientist for Discovery Mode, a Music Mission product that helps artists and music marketers reach new listeners. Artists and labels identify priority songs, and Discovery Mode uses that input in the algorithms behind personalized playlists. The broader Music Mission develops promotional products informed by listener behavior, including Discovery Mode, Marquee, Showcase, Music Videos, and Clips.

Working with product, engineering, and user research partners, you will focus on customer engagement and reporting for Discovery Mode. This includes understanding customer needs, building instrumentation and dashboards for the self-service product, and running experiments to improve the experience and support business impact. As part of the Product Insights team, you will also contribute to the development of future music-promotion products.

The listing identifies the position as remote in the United States, while the role description says it is based in Spotify’s New York office and that the team collaborates in the Eastern Standard time zone. The U.S. base salary range is $94,584–$135,121 per year, plus equity. Listed benefits include health insurance, six months of paid parental leave, a 401(k) plan, a monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. The stated compensation range may change in the future.

Role at a glance: Full-time Data Scientist role on Spotify’s Discovery Mode team, focused on product analytics, customer engagement, reporting, and experimentation.

Responsibilities mentioned in the listing

  • Collaborate with data scientists, researchers, product owners, engineers, designers, marketers, and other colleagues on artist-promotion tools.
  • Find product-development opportunities grounded in user needs and carry them through.
  • Set product success and health metrics and create dashboards to track them.
  • Work with data science colleagues to develop and test hypotheses, then turn findings into actionable product insights.
  • Help advance data science practices and skills across the community.
  • Promote rigorous, data-informed decisions aimed at measurable business impact.

Qualifications stated in the listing

  • Demonstrated experience in a comparable data science role.
  • A degree in data science, computer science, statistics, economics, mathematics, or a related quantitative discipline.
  • Product analytics experience, including defining success metrics, conducting exploratory analysis, and presenting findings with clear product recommendations or implications.
  • Experience using experimentation to guide product development as a data scientist.
  • Practical experience analyzing data with tools such as Python, DBT, BigQuery, SQL, and Tableau.
  • Strong communication and relationship-building skills, including the ability to explain complex topics clearly.
  • Ability to present data science insights concisely and compellingly to audiences with different levels of experience, and to influence product or feature decisions.
  • Advertising experience is a bonus.
Full details from the source listing

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.

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