Time since we first saw it
Day 12
Similar jobs usually come down between day 7 and day 56.
At Spotify, jobs usually come down by about day 39.
From 10,198 similar postings that came down, and 43 of Spotify’s. Coming down is not always a hire.
Data Scientist - Business Analytics
- Pay
- Pay not listed
- 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 postingDevelop data-driven strategies to grow active users and subscribers
Analyze A/B tests and quasi-experiments to measure feature and go-to-market impact
Model and forecast the impact of new business initiatives
Present findings and recommendations to senior leaders
Work with business partners to find growth opportunities
From the employer’s posting
Develop data-driven strategies to support the growth of Spotify’s active users and subscribers
Analyze experiments (A/B tests; quasi-experiments) to measure the impact of new features and go-to-market initiatives
Model and forecast the impact of new business initiatives
Present your findings to senior leaders, influencing the course of our business
Work closely with business partners to understand the changes they are driving and help them discover new opportunities for growth
What you’ll bring
All qualificationsCore experience
- You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm.
Qualification wording
You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm.
Education & alternatives
- 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
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202612 days ago
- Recorded sightings
- 19
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Spotify is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
Where the posting names them
- 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, experimentation, or payments is a plus. - You enjoy partnering with a range of cross-functional stakeholders and working on varied projects involving different products and problem spaces.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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 focused on payments and payments fraud. 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 and the way we process payments
- 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, experimentation, or payments 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 London
- 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.
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.
Employment type
Permanent
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.