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JobsSpotify

Data Scientist - Business Analytics

Spotify

Data Scientist - Business Analytics

Spotify

New York, NY

·

On-site

·

Full-time

·

1mo ago

Compensation

$110,018 - $157,169

Benefits & Perks

Health, dental, and vision coverage

Top Tier compensation with equity

Learning and development stipend

Parental leave program

Wellness benefits

Required Skills

Python

TensorFlow

PyTorch

We are looking for a Data Scientist to join the Business Analytics team within Spotify’s Business Strategy and Insights organization. Our team tackles some of Spotify’s most consequential strategic questions, shaping the trajectory of our business and improving the experiences of our over 700M active users across more than 180 countries.

In this role, you will use data analysis, experimentation, and statistical modeling to identify, assess, and launch a broad range of new initiatives and product features that span both product and business teams. You will also regularly assess the health of our business and identify areas of opportunity, translating these insights into clear, actionable recommendations for senior leadership.

At Spotify, you'll have access to some of the richest datasets in the world and the autonomy to explore them creatively and rigorously. Above all, your work will shape how the world listens, discovers, and connects through audio.

What You'll Do

  • Develop data-driven strategies to support the growth of Spotify’s active users and subscribers
  • Create and communicate impactful findings and recommendations that improve the Premium product
  • Model and forecast the impact of new business initiatives
  • Work closely with business partners to understand the changes they are driving and help them discover new opportunities for growth
  • Analyze experiments (A/B tests; quasi-experiments) to measure the impact of new features and go-to-market initiatives
  • Present your findings to senior leaders, influencing the course of our business

Who You Are

  • You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm.
  • You are fluent in SQL and Python or R, and have a strong grasp of statistical methods and causal inference. Direct experience with product analytics or experimentation is a plus.
  • You enjoy partnering with a range of cross-functional stakeholders and working on varied projects involving different products and problem spaces.
  • You have a strategic mindset and an eye for cleanly extracting the “so what” from complex, technical analyses.
  • You are an excellent communicator adept at presenting to senior leadership and audiences of varying levels of technical knowledge.
  • You are comfortable working through ambiguous, complex problems and don’t get discouraged when the path forward isn’t immediately clear.
  • You hold at least a Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.

Where You'll Be

  • This role is based in 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.

The United States base range for this position is $110,018 - $157,169, 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, 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.

Spotify transformed music listening forever when we launched in 2008. Our 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

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About Spotify

Spotify

Spotify

Public

Spotify is a Swedish audio streaming and media service provider founded in April 2006 by Daniel Ek and Martin Lorentzon. As of December 2025, it was one of the largest providers of music streaming services, with over 751 million monthly active users comprising 290 million paying subscribers.

5,001-10,000

Employees

Stockholm

Headquarters

Reviews

4.0

25 reviews

Work Life Balance

4.2

Compensation

3.8

Culture

4.0

Career

3.9

Management

3.7

72%

Recommend to a Friend

Pros

Great company culture and amazing people

Supportive management and professional growth opportunities

Creative and innovative work environment

Cons

Job insecurity and recent layoffs

Management inconsistency and lack of transparency

Limited internal career mobility

Salary Ranges

3 data points

Junior/L3

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0 reports

$142,458

total / year

Base

-

Stock

-

Bonus

-

$121,089

$163,827

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Online Coding Round

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit