Data Scientist

Bigblue; Paris; Sur place; EUR 65 000 - 95 000; Plein temps

Résumé du poste

Bigblue is building the data backbone for modern commerce from Paris. As part of our early data team, you will tackle critical data problems for our merchants and product teams, shaping analytics, dashboards, and experimentation pipelines across Europe.

You will work with engineers, designers, and stakeholders to own the problem-solution-experimentation lifecycle, from proof-of-concept to deployment, with real business impact and opportunities for growth.

Qualifications

• Strong interest in solving business-critical problems.
• 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.

Responsabilités

• Solve customers' data problems.
• 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.
• 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.

Connaissances

Python

SQL

Probability

Statistics

ML theory

Outils

Fivetran

BigQuery

dbt

Description du poste

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.

Requirements - Must Haves

• 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

Requirements - Nice To Haves

• 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

Interview process

• [45min] Hiring manager phone screen
• [1h] Live data problem-solving case study
• [45min] Data: past project interview

Onsite

• [45min] Product team fit: chat with 2 Product team members
• [45min] Founder interview
• [15min] Conclusion with hiring manager
• [1-2 days] Reference calls
• Offer

Package

• Level D-E on our grid, 5-10 y. of experience
• 65 - 95 k€ annual salary
• 35 - 53 k€ gross value of BSPCE grant

Why join Bigblue

High impact role: Be at the center of our growth journey and help shape the team that will power Bigblue’s future.

Founders-led company with an innovative, caring culture.

Fast-growing scale-up: Join a well-funded, early-stage company where your work will have immediate and visible results.

International environment: Work across Paris, Madrid, London, and our European warehouse network.

Brand-new offices in the heart of Paris’ 9th arrondissement (biggest tech hub).

10€ meal voucher per worked day (55% paid by Bigblue) + unlimited free snacks at the office.

ClassPass membership for fitness & wellness.

MacBook or any setup you need — your choice of equipment to do your best work.

100% health insurance coverage with Benefiz.

Regardless of sex, gender identity, sexual orientation, race, color, religion, origin, disability, age… At Bigblue, we create equal opportunities for all and make our culture as inclusive as possible. Because we believe that challenging assumptions and embracing diversity in experiences and backgrounds is what makes us stronger.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.