Spotify

Data Scientist - Music Promotion

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the 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. 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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Human Resources MySQL Python SQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Scientist - Music Promotion role.
  2. How would you approach your first 30 days at Spotify?
  3. Which of Data Analysis, Human Resources and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Scientist - Music Promotion role because I can bring practical experience in Data Analysis, Human Resources and MySQL, learn the team quickly, and contribute to the outcomes Spotify needs from this hire.

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