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Data Scientist – Unlock the Future of Live Entertainment with Data 📊🎶

Abundo
Swedenfull_timeVerifiedPosted 5 Sept 2025

About the role

At Abundo, we’re redefining how people discover and experience live events. From concerts and theatre to comedy and cinema, our platform connects thousands of people with cultural moments they’ll never forget.

Now we’re looking for a Data Scientist to help us develop AI products and turn data into insights, predictions, and smarter experiences for our users. This is a unique opportunity to work in a fast-growing startup where your models and analyses will directly shape both product and business decisions.

What you’ll do

  • Design and build models for recommendations, personalization, and forecasting

  • Analyze user behavior and event data to uncover trends and opportunities

  • Collaborate with product, engineering, and growth teams to drive data-informed decisions

  • Build pipelines and dashboards to make insights accessible across the company

  • Explore new approaches (ML, AI, statistical models) to improve our product and operations

Our stack

  • AWS, Python, Go, ClickHouse, MongoDB

  • Modern analytics tools (Mixpanel/Amplitude/etc. — flexible depending on what you prefer)

  • We value pragmatism: start simple, prove value, and scale when needed

Who you are

  • Strong background in data science, machine learning, or applied statistics

  • Comfortable working with real-world messy data and making it actionable

  • Experience with Python (pandas, scikit-learn, or similar) and SQL

  • Curious, collaborative, and excited to apply data to the world of live entertainment

Why join Abundo?

  • Impact: Your models and insights will directly influence what thousands of people see, book, and experience each week

  • Ownership: Shape our data strategy from the ground up in a growing startup

  • Culture: Join a small, ambitious team passionate about both technology and culture

  • Location: Based in Stockholm, in the heart of the city’s live scene

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Company

Abundo

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