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Spotify Data Science Jobs (NOW HIRING)

Spotify

Data Scientist, Subscriptions

New York, NY · On-site

$135K/yr

You'll join the Portfolio Data Science team, part of Subscriptions Product Insights. The Portfolio Focus Area is responsible for evolving and adapting Spotify's existing subscription plans to drive ...

Spotify

Data Scientist - Subscriptions

New York, NY · On-site

$167/hr

You'll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners-and how we can make ...

Spotify

Data Scientist - Subscriptions

New York, NY · On-site

$167/hr

You'll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners-and how we can make ...

Spotify

Data Scientist II - Trust & Safety

Boston, MA · On-site

$117K - $167K/yr

Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust & Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence ...

Spotify

Data Scientist II - Trust & Safety

Boston, MA · On-site

$117K - $167K/yr

Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust & Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence ...

Spotify

Data Scientist II - Trust & Safety

New York, NY · On-site

$117K - $167K/yr

Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust & Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence ...

Melotech

Data Science, Music & Audio

New York, NY · On-site

... Spotify, Blackstone and KKR. What you will do Join us as our first dedicated Data Scientist to ... bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to ...

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How much do spotify data science jobs pay per year?

As of Jun 7, 2026, the average yearly pay for spotify data science in the United States is $116,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $161,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Spotify Data Science position, and why are they important?

To thrive as a Spotify Data Science professional, you need a solid grounding in statistics, machine learning, data analysis, and experience with programming languages such as Python or Scala, generally supported by a degree in computer science, math, or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud computing, SQL, and data visualization tools is highly valued, as are certifications in data science or analytics. Strong communication skills, creativity, and cross-functional collaboration are vital soft skills for translating data insights into actionable business solutions. These skills enable you to effectively analyze user behavior, improve product recommendations, and drive data-informed decisions in Spotify’s fast-paced, innovative environment.

What is the typical work environment and team structure for a Data Science role at Spotify?

Spotify Data Scientists commonly work in cross-functional teams alongside engineers, product managers, and designers, focusing on projects such as enhancing recommendation algorithms or analyzing user engagement. The environment is collaborative and fast-paced, often involving agile methodologies and regular knowledge sharing through team standups, code reviews, and data deep dives. Data Scientists are encouraged to experiment, drive innovation, and contribute ideas across the product lifecycle, making it an engaging setting for continuous learning. Team members may work remotely or from Spotify offices, with a strong emphasis on open communication and diversity of thought.

What is a Spotify Data Science job?

A Spotify Data Science job involves analyzing user behavior, music trends, and product performance to drive data-informed decisions. Data scientists at Spotify work with large-scale datasets, use machine learning and statistical models, and collaborate with product, engineering, and business teams. They help improve recommendations, personalize user experiences, and optimize content discovery. The role typically requires strong programming skills (Python, SQL), experience with data visualization, and expertise in A/B testing and experimentation.

More about Spotify Data Science jobs
What cities are hiring for Spotify Data Science jobs? Cities with the most Spotify Data Science job openings:
What are the most commonly searched types of Spotify Data Science jobs? The most popular types of Spotify Data Science jobs are:
What states have the most Spotify Data Science jobs? States with the most job openings for Spotify Data Science jobs include:
What job categories do people searching Spotify Data Science jobs look for? The top searched job categories for Spotify Data Science jobs are:
Spotify Data Science jobs near you
Infographic showing various Spotify Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.

Data Science Manager, Music Recommendations

Spotify

New York, NY • On-site

$144K - $206K/yr

Other

Medical, Retirement, PTO

Posted 15 days ago

Job description

Spotify's mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world's most popular audio streaming subscription service with a community of more than 700 million users. We are looking for an extraordinary Data Science Manager to join our Content Insights group and build the next frontier of analytics to support the strategic decision making for our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences.
What You'll Do
  • Act as a key partner to leaders in Spotify's Music Vertical, with a focus on the Editorial function globally and recommendations of music content.
    • >
  • Manage a strong team of data scientists, aligning their expertise and professional growth with business needs via ongoing coaching and roadmap planning.
    • >
  • Conduct research yourself and craft compelling data storytelling to influence large investments at Spotify in the field of music recommendations
    • >
  • In particular, orient innovation at the intersection of human editorial and algorithmic recommendations in the age of AI.
    • >
  • Upskill the data science function in your area with agentic AI, and develop the next layer of self-serve access to insights for your stakeholders
    • >
  • Become a company-wide expert on music content and how it reaches listeners around the world.
    • >

Who You Are
  • 7+ years of relevant experience performing data analysis or data science. In particular...
    • You are highly proficient in Python and SQL
      • >
    • You are well versed in AI tools for data science and insights, such as Claude Code
      • >
    • You have an expertise in building data visualizations and dashboards (e.g. Looker Studio, Tableau or other)
      • >
    • You have experience with A/B testing and statistical modeling
      • >
  • Experience managing a team is preferred. The role is opened to first time managers who have a proven experience mentoring others, leading large collaborative projects and coordinating with senior leaders.
    • >
  • You are a confident communicator with acute design thinking, who can simplifie complex problems and ground creative discussions in objective data. You have experience presenting to and influencing senior leadership.
    • >
  • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is désirable
    • >
  • You are passionate about music. Previous experience in creative industries is a preference, but not a hard requirement if you have a deep empathy for how the music art form is created and enjoyed
    • >

Where You'll Be
This role is based in New York, New York
  • 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
  • We ask that you come in 2-3 times per week

The United States base range for this position is $144,715 - $206,735, 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, 13 paid flexible holidays. 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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