Senior Data Scientist - User fraud
Stockholm
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!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
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.
Tags: A/B testing Computer Science Data pipelines Economics Engineering Feature engineering Machine Learning Mathematics Matplotlib PhD Pipelines Python R Research Scala SQL Statistical modeling Statistics Streaming Tableau Testing
Perks/benefits: Career development
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