Data Scientist - Music Promotion
New York, NY
- Pay
USD 94,584–135,121/yearAnnual period assumed · Plus equity — pay source
This team operates within the Eastern Standard time zone for collaboration. 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.
Read the full posting- 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 postingDefine success metrics and build dashboards for Discovery Mode's self-serve product
Run experiments to improve the customer experience and business impact
Identify high-impact product opportunities based on user needs
Form and test hypotheses with other data scientists to produce actionable insights
From the employer’s posting
Define metrics and build the dashboards we use to measure the health and success of our products.
running experiments that improve the experience and drive business impact
Identify the most impactful opportunities for product development based on user needs
Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights
What you’ll bring
All qualificationsCore experience
- Demonstrated experience in a similar Data Science role
- Degree in data science, computer science, statistics, economics, mathematics, or similar quantitative field
- Product analytics experience, including success metrics and exploratory analysis
- Experience using experimentation to drive product development
- Hands-on work with Python, DBT, BigQuery, SQL or Tableau
Qualification wording
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
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.
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
- Tableau
Source — Tool mentions in context
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 15, 2026 · 44 days ago
- Recorded sightings
- 40
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
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.
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.
Employment type
Permanent
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
This team operates within the Eastern Standard time zone for collaboration. 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.
- Location & working pattern
New York, NY
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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