Data Scientist

At Bigblue, we're building the logistics backbone for the next generation of commerce.

Modern brands sell everywhere: through their own online stores, marketplaces, retail, social commerce, and more.

Across every channel, customers expect the same fast, reliable, and transparent experience after they buy.

What used to be Amazon's exclusive advantage is now becoming the standard for every ambitious brand.

We're helping them get there.

Since 2018, we've built a tech-driven fulfilment platform used by 600+ brands, including Muji, Aigle, Scuffers, and Cabaïa.

With 200+ Bigbluers across the UK, France, Spain, and Germany, our proprietary tech stack, and a network of 9 warehouses and over 100,000 sqm of fulfilment space across Europe, we ship millions of orders every month.

And we're nowhere near done!

Backed by €20M+ in funding, we're expanding across Europe and building the operating system that will power modern commerce operations at a global scale.

At Bigblue, we hold ourselves to a very high bar: in the quality of our product, the rigour of our operations, and the care we bring to every merchant we work with.

You'll be working alongside talented people on real, high-impact problems, in an environment where high standards come with genuine support, ownership, and room to grow.

If you want your work to matter from day one, you're in the right place.

• Strong interest in solving business-critical problems
• Comfortable with ownership and a large bias towards action and experimentation
• Hands-on experience with modern data stacks from orchestration to online models (we use Fivetran, BigQuery, dbt)
• Proficiency in the Python & SQL programming languages
• Solid foundations in Probability, Statistics, and ML theory.
• Experience writing production-grade software in distributed systems
• Experience in offline model evaluation and online model evaluation via A/B testing
• Good communication skills with diverse audiences (e.g. clients, ops teams)
• Hands-on experience with cloud technologies such as Amazon Web Services, Google Cloud, or Azure
• [45min] Hiring manager phone screen
• [1h] Live data problem-solving case study
• [45min] Data: past project interview
• [45min] Product team fit: chat with 2 Product team members
• [45min] Founder interview
• [15min] Conclusion with hiring manager
• [1-2 days] Reference calls
• 🎉 Offer
• Level D-E on our grid, 5-10 y. of experience
• 65 - 95 k€ annual salary
• 35 - 53 k€ gross value of BSPCE grant