Data Scientist, User Fraud

This role is based in London or Stockholm with flexibility to work from home.

What you'll do:

• Analyze user and system data to detect and assess risks of artificial or fraudulent activity on Spotify.
• Build data science and machine learning solutions for fraud prevention.
• Communicate insights to non-technical audiences using data storytelling.
• Build scalable data pipelines and dashboards.

Who you are:

• At least two years of experience with large datasets using Python, SQL, or R.
• Degree in data science, computer science, or a similar quantitative field.
• Experience with data pipelines, anomaly detection, and machine learning.
• Strong analytical and problem-solving skills.