Data Scientist

Summary

We are looking for a talented Data Scientist to join our team. You will be responsible for turning fragmented industry data into insights and predictive models that power new features and products.

As a Data Scientist, you’ll work with technologies like: Python, pandas, scikit-learn, PyTorch, SQL, and AWS — applying machine learning, NLP, and analytics to solve real problems for the bike industry.

As data scientists, we have the chance to build models and tools that change how bikes are maintained, serviced, and managed — helping an entire industry become smarter and more efficient.

About Velopass

The bike industry runs on paper, PDFs, and disconnected systems. Velopass fixes that with a digital passport that tracks every bike — from creation to purchase to service to resale.

Today, 1,500+ bike stores and multiple brands across Europe are using Velopass. We're growing fast and expanding our platform with new products like AI-powered insights to help our customers to improve the service on bikes. 

Our culture

• Product-First: We are focused on creating delightful product experiences for our customers.
• Small, High-Impact Team: Work with experienced entrepreneurs who have built successful tech companies before. We keep the team small so every developer has real impact.
• Proactive Problem-Solving: If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them.
• Ship to Learn: We move fast and learn from real user feedback.
• Intellectual Humility: We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence that might change their minds. If new data emerges, we adapt quickly.

What you'll do

• Build models that turn fragmented data into predictions, insights, and automation.

• Transform messy maintenance logs into structured data.

• Develop predictive models for maintenance needs, component failures, and usage trends.

• Help design the data pipelines that power our AI features.

• Work closely with the founding team to shape how data becomes a core part of the product.

• Own problems. Solve them fully.

What you'll do

• Languages & Libraries: Python, pandas, scikit-learn, PyTorch, NumPy

• NLP: OpenAI API, Hugging Face, LLMs (for unstructured data processing)

• Databases: SQL Server (structured data), data lakes on AWS (S3)

• Data Pipelines: Python-based pipelines, evolving towards real-time

• Infra & Services: AWS (S3, EC2, Lambda), Auth0 (auth), Brevo (notifications)

• Collaboration with Dev Stack: APIs built in ASP.NET Core and frontends in React

Benefits & Compensation

• Competitive compensation
• Equipment of your choice — MacBook Pro, Linux laptop, monitor, keyboard, etc.
• Phone subscription covered
• Mobility budget — use it for a car, bike, or public transport
• Meal vouchers
• Beautiful office in the center of Antwerp
• Team events — regular meetups, lunches, and activities

Why Velopass

We’re not building another tool for bike shops. We’re building the digital infrastructure for the entire bike industry — starting with a digital passport for every bike.

The bike industry still runs on paper, spreadsheets, and disconnected systems. We’re fixing that by giving bikes, stores, and brands a shared digital source of truth. This unlocks better service, easier maintenance, theft prevention, and new business models.

This is a unique opportunity to shape how the European cycling industry works — and to build products that have real-world impact from day one.

If you’re excited about building simple, reliable software that solves real problems for real users — and if you want to work in a small, fast-moving team with ownership from day one — we’d love to talk.

👋 Even if you don’t check every box, apply anyway. We care more about your mindset and motivation than ticking every line on a checklist.