Data Scientist, User Fraud - Creation Platform

New York, NY

Applications have closed

Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

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About Creation Platform
Spotify is a global community of over 250 million music fans, artists, and now podcasters. It's always been our mission to make audio more accessible for everyone, and create innovative ways for creators and fans to connect with each other.
Creation Platform is the team within Spotify responsible for building the best tools for audio creators. We have three platforms that help us deliver a great creator experience: Anchor (the platform that allows you to create, distribute, monetize, and grow a podcast, all for free), Spotify for Podcasters (the platform that makes it easy to understand and engage with your listeners on Spotify, and Greenroom (the platform that allows anyone to stream or listen to live audio).
We've done a lot already, and we have no plans of slowing down. Come help us build the future of audio creation!
About the Role
We are looking for a talented and experienced Data Scientist to join our team. Our mission is to accelerate Spotify’s authentic growth in audio creation 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 such as clustering and anomaly detection
  • Create metrics to improve our measurement and performance of our detection
  • Analyze behavioral shifts using statistical modelling
  • Serve as the first full time fraud data scientists focused on podcasts, confronting novel fraud strategies and building new systems from the ground up
  • Innovate while prioritizing simplicity and impact
  • Collaborate with data scientists, data 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
  • Passion for data explorations and understanding oddities

Who you are:

  • 2+ years of experience in data analytics and modelling
  • Power user of SQL. Coding proficiency in Python strongly preferred. Knowledge of Big Query a plus.
  • Knowledge of fraud detection techniques, using modelling such as clustering techniques and anomaly detection
  • Degree(s) in statistics, economics, mathematics, physics, operation research or other quantitative fields of study.
  • 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

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 and is within working hours
  • 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.
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.
This position is not eligible to be performed in Colorado.

Tags: BigQuery Data Analytics Economics Mathematics Physics Python Research SQL Statistics Streaming

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  17  4  0
Category: Data Science Jobs

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