Senior Data Scientist - User Fraud

New York, NY

Full Time Senior-level / Expert
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We are looking for a talented and experienced Senior Data Scientist to join our User Fraud team. Our mission is to accelerate Spotify’s authentic growth by developing a system that detects, mitigates, and prevents unwanted behavior on our platform.
In a highly collaborative organization, you will work with data scientists, engineers, and product management to solve some of the most challenging and important problems that we face at scale. In this role, you will see a direct correlation between your work and company wide mission. As we continue to scale and create, we have a lot of exciting work ahead of us!

What You'll Do

  • Use large scale data to detect unwanted behavior on our platform using a variety of modelling techniques, including machine learning, statistical inference, time series analysis and anomaly detection
  • Create metrics to improve our measurement and performance of our detection
  • Identify useful features for detection modelling and anomaly detection
  • Analyze behavioral shifts using statistical modelling
  • Come up with data-informed hypothesis for testing and validation
  • Build out anomaly monitoring and useful tooling for data analytics
  • Innovate while prioritizing simplicity and impact
  • Collaborate with data scientists, data engineers, machine learning engineers and product managers to understand business needs and build solutions together
  • Influence product and cross-functional teams to find opportunities to drive impact
  • Keep up to date with potential fraud that can happen on the platform and come up with ways to detect it

Who You Are

  • BS/MS in statistics, economics, mathematics, physics, operation research or other quantitative fields of study; PhD qualification preferred
  • 5+ years of validated experience in data analytics and modelling
  • Deep knowledge of statistics, time series analysis, machine learning, A/B testing and causal inference
  • Coding proficiency in Python/R and SQL
  • Experience in analyzing large datasets to identify anomalies
  • Strong analytical and problem solving ability
  • Able to explain sophisticated topics in simple terms
  • An enthusiastic learner; you see unfamiliar territories as an opportunity to grow
  • Value team collaboration with both data scientists and engineers, and seek to grow the skills and knowledge of your peers
  • Value building strong relationships with colleagues and stakeholders
  • Working as a senior data scientist in the User Fraud area will challenge your design, quality, and problem-solving skills to build robust and scalable solutions.

Where You'll Be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
  • Working hours? We operate within the Eastern Standard time zone for collaboration
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 with a community of more than 345 million users.
Job region(s): North America
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