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Data Scientist - Content Understanding

Spotify

Data Scientist - Content Understanding

Spotify

London

·

On-site

·

Full-time

·

1mo ago

Required skills

Machine Learning

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

$23B

Valuation

Reviews

4.1

10 reviews

Work-life balance

3.8

Compensation

4.2

Culture

4.3

Career

3.9

Management

2.8

78%

Recommend to a friend

Pros

Flexible working hours and remote options

Great team culture and collaborative environment

Innovative projects and creative freedom

Cons

High workload and performance pressure

Fast-paced environment can be overwhelming

Management issues and disorganization

Salary Ranges

17 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0 reports

$142,458

total per year

Base

-

Stock

-

Bonus

-

$121,089

$163,827

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit