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求人Spotify

Data Scientist - Content Understanding

Spotify

Data Scientist - Content Understanding

Spotify

London

·

On-site

·

Full-time

·

1mo ago

必須スキル

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.

総閲覧数

1

応募クリック数

0

模擬応募者数

0

スクラップ

0

Spotifyについて

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

従業員数

Stockholm

本社所在地

$23B

企業価値

レビュー

4.1

10件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

4.3

キャリア

3.9

経営陣

2.8

78%

友人に勧める

良い点

Flexible working hours and remote options

Great team culture and collaborative environment

Innovative projects and creative freedom

改善点

High workload and performance pressure

Fast-paced environment can be overwhelming

Management issues and disorganization

給与レンジ

17件のデータ

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0件のレポート

$142,458

年収総額

基本給

-

ストック

-

ボーナス

-

$121,089

$163,827

面接体験

3件の面接

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit