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Data Scientist - Content Understanding

Spotify

Data Scientist - Content Understanding

Spotify

London

·

On-site

·

Full-time

·

5d ago

Spotify’s consumer product is powered by an enormous and ever-growing catalog of music, podcasts, and audiobooks. The Content Platform team is responsible for making sure that content is ingested, structured, evaluated, and delivered reliably at global scale.

Our work ensures that creators’ content reaches fans quickly and accurately and that Spotify’s catalog is organized in a way that supports discovery, personalization, and a seamless listening experience. We partner closely with engineering, product, operations, labels, distributors, and research teams to keep our content ecosystem robust and scalable.

As a Data Scientist II, you’ll work at the intersection of user behavior, metadata, and machine learning systems to improve how content is classified, evaluated, and understood across Spotify.

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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