Data Scientist - Payments Fraud

Key Skills

Data science techniques, Effective communication skills, Google BigQuery, Machine learning techniques, Python Programming, SQL

Job Description

The Subscriptions R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

Are you passionate about combating fraud and protecting users from sophisticated threats? As Spotify continues to grow and innovate, we are looking for an experienced Data Scientist to join our Payments Fraud team. This is your chance to play a crucial role in detecting emerging threats and building machine learning models that protect our global business from fraud and abuse . If you have a passion for learning, a strong data science background and a drive to stay one step ahead of fraudsters, we want to hear from you!

You will work with a global team of world-class analysts, data scientists, business managers, product managers and engineers. We are all passionate about what we do and move forward with high impact projects at a high pace. Learning and improving is part of our daily routine, and you will be free to develop your skills and ways of working. Our collaborative environment encourages innovation and continuous improvement, making it an exciting place to grow your career.

What You’ll Do

• Leverage your expertise in Machine Learning to develop, refine, and implement real time models that will enhance our ability to predict and prevent fraud and abuse.
• Apply your expertise in payments and fraud to enhance Spotify's strategies for fraud mitigation.
• Assess the potential opportunity and business impact of initiatives related to fraud and abuse. Your analysis will help guide strategic decisions and prioritise projects.
• Communicate and share insights with stakeholders across the business. Your ability to present complex data in a clear manner will ensure that we make data-driven decisions.
• Collaborate closely with our Engineering and Product teams to bring about meaningful changes to our systems.

Who You Are

• 2+ years experience in a data science role, with at least 1 of those years of experience in a payments or fraud role.
• A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field.
• Experience working with machine learning in the fraud prevention or security domain.
• Proficiency with Python for data science and SQL. Knowledge of Google BigQuery is a plus.
• Experience with a dashboard visualisation tool such as Looker, Tableau or similar.
• Someone who loves solving business problems as much as a data problems
• An independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
• A communicative person who values building strong relationships with colleagues and enjoys collaborating with others.

Where You’ll be

• You'll be based in Stockholm, Sweden or London, UK.

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.

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.