Senior Data Scientist

📍 Paris | Full-time | Fluent 🇫🇷 & 🇬🇧

E-commerce is booming — but independent brands still struggle to match the seamless logistics of giants like Amazon. At Bigblue, we’re on a mission to change that.

We help brands by democratizing best-in-class operations: scaling faster while delivering a five-star customer experience.

Since 2018, we’ve built a tech-driven logistics platform powering 500+ brands — from fast-growing DTC players to global names like MUJI, Aigle, and Cabaïa. With 110+ employees across Paris, Madrid, and London, our proprietary WMS (Warehouse Management System) Atlas, and a network of 7 warehouses across Europe, we’re solving logistics challenges that others haven’t dared to tackle — making fulfillment faster, smarter, and greener.

Backed by $20+M in funding and trusted by the next generation of e-commerce leaders, we’re scaling rapidly — from 10 million orders in 2024 toward ambitious enterprise expansion. The journey ahead is bold, and we’re looking for the right partner to help us lead the way.

Being an operational business at heart, Bigblue has been data-driven from day one. It drives all our decisions. Because of our unique position at the center of our merchants' businesses, and our close connectivity to our fulfillment network, we have access to large amounts of fresh, real-time data. Data tells us how our merchants are doing and how we can help them grow. As our network grows in size and geographic span, looking for optimization also opens us to a whole new class of data problems. Because of this, we will grow our data headcount even more in 2025.

As a (still early) member of the data practice in the Bigblue product team, you will solve critical problems for our business and our merchants. You'll participate in our product development cycles, focusing on data problems and collaborating with designers, engineers, and stakeholders inside and outside Bigblue. You'll own the entire problem-solution-experimentation lifecycle: build proof of concepts, quickly launch features and experiments in front of merchants and buyers to reach strategic outcomes. Solutions will be anything from data analysis, algorithms, to ML models.

• Computing a reliable, real-time delivery ETA to communicate to buyers,

• Iterating on our internal logistics algorithms to optimize specific parts of our operations (packaging, warehousing, ...),

• Finding the best and greenest routes in our European carrier network to deliver on time with a minimal carbon footprint.

Data is the true differentiator for Bigblue in the long run. We need your help to build out everyday data tools at Bigblue. You’ll be working with various internal teams across Engineering and Operations to help them be autonomous with their data needs. You will build and own tooling, pipelines and canonical datasets to power Bigblue's analytics, intelligence, and external data integration. In short, you will make the core of Bigblue's datasets reliable and enable the entire team to make data-driven decisions every minute.

• Surface unified data schemas and tables that provide a complete view of the business across our network

• Help operations data analysts setup and evolve their near-real-time operations monitoring dashboards to track warehouse and carrier operations closely

• Build a centralized experimentation platform to pipeline experiment metrics and compute descriptive statistics

As an early data team member, you will take part in designing and running the data hiring process for both the data team and our distributed team of Analysts. You will get the opportunity to mentor other Data people and develop them into our future data leaders. You will get the opportunity to influence what data will mean for Bigblue in the coming years.

Onsite