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For Companies At a Glance
- Tasks: Analyse user data to detect fraud and build machine learning solutions for prevention.
- Company: Join Spotify, the world’s leading audio streaming service with a passion for creativity.
- Benefits: Flexible work options, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact by protecting millions of users from fraud.
- Qualifications: Experience with Python, SQL or R, and strong analytical skills required.
- Other info: Work in a dynamic team with a focus on innovation and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
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. 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.
- 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.
Data Scientist - User Fraud employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - User Fraud
✨Tip Number 1
Network like a pro! Reach out to current or former Spotify employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to fraud detection. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your data storytelling skills. Practice explaining complex concepts in simple terms, as you'll need to communicate insights to non-technical folks at Spotify.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Scientist - User Fraud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with large datasets, Python, SQL, and any relevant projects that showcase your skills in fraud detection and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about tackling user fraud and how your background makes you a perfect fit for our team. Don't forget to mention your analytical skills and problem-solving approach!
Showcase Your Data Visualisation Skills: Since communicating insights is key, include examples of your data visualisations in your application. Whether it's through matplotlib or ggplot, show us how you can turn complex data into clear, actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you'll find all the details you need about the role and our team!
How to prepare for a job interview at Spotify
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving large datasets. Be ready to discuss specific examples where you used Python, SQL, or R to tackle complex problems. Highlight how your analytical skills led to actionable insights, especially in fraud detection.
✨Visual Storytelling is Key
Since you'll need to communicate insights to non-technical audiences, practice explaining your data visualisations clearly and concisely. Use tools like matplotlib or ggplot to create compelling visuals that tell a story about your findings. This will show your ability to bridge the gap between data and decision-making.
✨Show Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around anomaly detection and machine learning. Think of examples where your proactive approach led to innovative solutions in fraud prevention. This will demonstrate your intellectual curiosity and problem-solving mindset.
✨Embrace Inclusivity and Flexibility
Spotify values diverse perspectives, so be yourself during the interview. Share your unique experiences and how they shape your approach to data science. Also, don’t hesitate to ask about the flexible working arrangements; showing interest in the company culture can set you apart.
