Description
Data Scientist - User Fraud
Team: Platform
Location: London, Stockholm
Commitment: Permanent
Workplace Type: remote
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
We are seeking a data scientist to join the User Fraud R&D Studio. Our mission is to protect Spotify from unwanted behaviour by detecting and preventing fake account creation and artificial streaming activity across all business areas. You will join a cross-functional team of data scientists and machine learning engineers who continuously experiment, iterate and deliver new fraud prevention solutions. Together, we tackle a diverse and evolving set of challenges, study user behaviour, develop data science and machine learning solutions, and bring insights into every decision we make. Your work will directly impact our ability to identify and prevent fraud.
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 to enable Spotify to quickly and automatically analyze data for fraud prevention.
- Communicate insights and recommendations to non-technical audiences using clear visuals and data storytelling.
- Build scalable data pipelines and dashboards to track our performance and support decision-making.
Who you Are
- At least two years of experience working with large, complex datasets using Python, SQL or R. You should also be comfortable creating your own data visualizations using tools like matplotlib, ggplot, looker studio or similar.
- Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
- Experience and strong understanding of working with data pipelines, anomaly detection methods, statistical modeling and machine learning.
- Strong analytical skills, with the ability to turn data into actionable insights and recommendations.
- Strong problem-solving skills, intellectual curiosity, and a proactive approach to identifying new opportunities for fraud detection and prevention.
Where You'll Be
- This role is based in London or Stockholm
- 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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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