Verified from career page · Posted +6mo ago

BigBlue

Data Scientist

BigBlue · Product

Paris

Mid-level Still listed after 6+ months

Machine learning

Last seen yesterday

Posted
+6mo ago

Posted on 9 March 2022

Workplace
Hybrid

Work model: Hybrid

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

📍 Paris | Full-time | Fluent 🇫🇷 & 🇬🇧

 

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.

 

 

What data means for Bigblue

 

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.

 

Missions

 

Solve customers' data problems

 

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.

 

Some things you might work on:

• 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.

 

Empower all teams with data

 

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.

 

Some things you might work on:

• 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

 

Help build Bigblue's data team

 

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.

 

About BigBlue

BigBlue is a European e-commerce fulfilment and logistics platform for online brands. A French company with engineering in France and Spain.

Apply at BigBlue

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