Senior Data Scientist, User fraud

Company:
Location: Stockholm

*** Mention DataYoshi when applying ***

    Data, Research & Insights
    Data Science
We are looking for an experienced data scientist to join our User Fraud product area. Our mission is to ensure the integrity of Spotify’s growth by detecting and preventing unwanted behavior on our platform.

Location

Stockholm or Remote EMEA

Job type

Permanent

You will join a multi-functional team of data scientists and software engineers, working together to continuously experiment, iterate and deliver on new fraud prevention products. As part of our team, you will study user behaviour, develop data science and machine learning solutions and bring insights into every decision we make. Your work will impact how we think about user growth and our ability to identify fraud.

What you'll do

  • Create insights based on huge amount of data using cutting edge data science tools and methodologies
  • Research and build data science and machine learning solutions for the Fraud team allowing to rapidly and automatically analyze data to support fraud prevention
  • Own our experimentation strategy, including experiment design and analysis.
  • Communicate insights and recommendations to non-technical audiences, through clear visualizations and data storytelling.
  • Work on an interdisciplinary team of engineers, data scientists, researchers and product managers. Collaboration across disciplines and with partners in our other European and Americas offices will be a key part of this role.

Who you are

  • 5+ years of proven experience analyzing large, sophisticated datasets with Python, SQL and/or R and are comfortable with visualizing data by yourself using, for example, Tableau, ggplot/matplotlib or equivalent.
  • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field. PhD welcome.
  • Experience and strong understanding of statistical modeling, such as forecasting, hypothesis testing, linear and logistic regression and feature engineering for machine learning.
  • Hands-on experience with designing and rolling out large scale A/B tests to analyze and validate new products or features.
  • Experience crafting and scheduling data pipelines, for example using Scala/Scio, is highly valued.
  • Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
  • Comfortable working with distributed teams across multiple offices and timezones.

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 EMEA 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 EMEA time zone for collaboration

Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Spotify On Tour, join your colleagues on trips to industry festivals and events.

Learn about life at Spotify

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 365 million users.

*** Mention DataYoshi when applying ***

Offers you may like...

  • Nav

    Senior Data Analyst, Decision Intelligence (Remote...
    Atlanta, GA 30301
  • Datafin IT Recruitment

    Senior Data Analyst
    Cape Town, Western Cape
  • Kencko

    Senior Data Analyst
    Lisboa
  • Wayfair

    Senior Data Analyst, Data Science Analytics
    Berlin
  • Volvo Group

    Senior Data Analyst – Quality & Customer Satisfact...
    Lyon (69)