Senior Data Scientist
Learning

• Data, Research & Insights

• Data Science

Locations

• Stockholm
• London

Job type

Permanent

What You Are

• Help build out the insights foundations that will allow us to gather conclusive evidence on the trajectory and viability of learning as an opportunity for Spotify. This includes instrumentation all the way through to analysis as well as understanding the learning space from multiple angles such as user, UX, content, marketing, creator and business perspectives to help inform decision making.
• Develop business intelligence-, growth model- and product metrics framework.
• Perform analysis on large sets of internal data to extract practical insights that will help drive product, platform and business decisions.
• Design and conduct A/B tests to generate insights and drive impact across the entire learning product.
• Build dashboards, data pipelines, and recurring reporting results, empowering business and product decision making
• Develop models which power on- and off-platform promotion of learning based content
• Help develop interest graph and content demand models for the content powering ML recommendations for users
• Communicate data-driven insights and recommendations to key partners
• Work closely and embedded with cross-functional team including engineering, product, design and business decision makers

Where You'll Do

• You believe that Spotify can truly create an impact in the learning space and have a point of view on that.
• You care end to end about the product, the implementation, the design, the creators, the business, and you are ready to wear multiple hats to achieve your goals.
• You have experience in a data science role in a related field and expertise in science, computer science, statistics, economics, mathematics, or similar quantitative subject area.
• You have experience with business intelligence, product analytics and complex data-driven decision making.
• You have broad experience performing analysis with large datasets and strong understanding of experimentation, statistics and machine learning for decision making.
• You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis.
• You take pride in your ability to identify and solve complex, unfamiliar problems, and present them to the rest of the team.
• You have a growth mindset, are curious and not afraid to be experimental. You share your ideas and continuously improve yourself and the team around you.
• You have excellent skills across the data science stack including Python, SQL and visualization tools (we primarily use Jupyter notebooks, BigQuery and Tableau)

Where You'll Be

• The team is distributed across the CET region with most people located in Stockholm and London.

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.

Learn about life at Spotify

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 500 million users.