Senior Data Scientist – User Platform
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!
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
The User Platform Insights team is a fast-growing and highly impactful team that sits under Platform R&D. The supports users from all sides of the Spotify ecosystem, and contributes multiple company bets that are crucial to Spotify's business.
We tackle problems in account security, support both users and artists, and build better experiences across the whole Spotify.
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 381 million users.
The User Platform Insights team is a fast-growing and highly impactful team that sits under Platform R&D. The supports users from all sides of the Spotify ecosystem, and contributes multiple company bets that are crucial to Spotify's business.
We tackle problems in account security, support both users and artists, and build better experiences across the whole Spotify.
What you’ll do
- Formulate hypotheses related to engineering effectiveness, product performances, & operational excellence, validate them from our datasets, and communicate these insights effectively
- Work closely with each squad under User Platform to come up with analytical solutions
- Collaborate closely with engineers, data scientists, user researchers, product designers, and product managers across the mission to create and promote shared data-informed methods
Who you are
- You have extensive experience, preferably working with engineering, and product design
- You have relevant training in statistics, mathematics, computer science, engineering, economics, or another quantitative discipline.
- You possess statistical skills to perform advanced analytics (such as regression modelling, a/b testing and significance testing)
- You have experience performing analysis with large datasets in a cloud-based data processing environment, such as BigQuery or similar
- You are proficient in Python, R, SQL, or other scripting languages
- You are familiar with data visualization tools, such as Tableau
- You have knowledge in account security, fraud detection, or platform team in a technology company
Where you'll be
- For this role, it can be within the EMEA 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 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 381 million users.
Tags: A/B testing BigQuery Computer Science Data visualization Economics Engineering Mathematics Python R R&D Security SQL Statistics Streaming Tableau Testing
Perks/benefits: Career development
Region:
Europe
Country:
Sweden
Job stats:
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Category:
Data Science Jobs
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