Data Scientist
Pubblicato il 27-08-2026 - Free2Move in Milano
Created in ****, Free2move simplifies mobility-related uses by offering a wide range of services to satisfy everyone's travel needs.
With Free2move, you can rent a city car for shopping or for your stay in Italy or book a car park during your weekend in Paris... all in one click, on our web/mobile platform!
Born from the merger of the Stellantis Group and the start-up TravelCar, Free2move, thanks to its agility and its spirit of conquest has managed to establish itself in just few years as a reference player to revolutionize the mobility of all travellers.
Having become the #1 reflex for more than 6 million users, Free2move operates in more than 170 countries across different continents and is available in 30 languages and 26 currencies. **** partners trust us and several hundred thousand vehicles are available!
If you want to join a team of +650 experts and bold international projects, then you're in the right place!
You will evolve in an ultra-dynamic, innovative, agile, internationally-focused structure and integrate our talented teams, full of ideas and motivation and with multidisciplinary skills, at the crossroads of the digital eco-system and the fast-changing automotive sector.
At Free2Move, data science and analytics sit at the core of our products and business decision-making. We are looking for a Data Scientist to join our Marketplace team and optimize the dynamic balance between supply and demand, ensuring our cars are perfectly positioned and priced for every journey.
Why Join the Data & AI Team?
High Impact:
Work at the center of product strategy, influencing critical business decisions.
Real-World Deployment:
Put algorithms into production that directly govern fleet operations.
Core Optimization:
Solve complex marketplace dynamics across diverse international markets.
Your Next Missions
Dynamic Pricing:
Enrich machine learning models to dynamically adjust rates across all markets.
Fleet Optimization:
Improve fleet repositioning algorithms to maximize overall rental volume.
End-to-End MLOps:
Industrialize ML models from initial R&D; through to production monitoring.
Experimentation Infrastructure:
Design scalable data pipelines to power A/B testing and measure algorithm impact.
Marketplace Monitoring:
Define precise KPIs and build reliable dashboards for real-time visibility.
What You Bring
Background:
Master's degree in a quantitative field (Engineering, Mathematics, Statistics, Physics, or equivalent).
Experience:
3+ years of hands-on data science experience solving real-world business challenges.
Engineering Rigor:
Expert Python skills (writing production-level code); experience with live production ML systems is a major plus.
Data Tech Stack:
Strong SQL proficiency (Databricks or equivalent) and experience with BI tools (Tableau or equivalent).
Analytical Balance:
A passion for statistics, effortlessly toggling between quick back-of-the-envelope estimates and deep analytical deep-dives.
Communication:
Fluency in English with a proven talent for explaining complex data insights to non-technical stakeholders.
What we offer
Working at Free2move means becoming part of a tribe in which the culture of performance rhymes with a good atmosphere. It is also:
A start-up spirit supported by a large Group
The opportunity to revolutionize the uses of mobility with us!
A neat integration to start well
Lots of possibilities for development
Collaboration with multidisciplinary and international teams
International projects to perfect your background!
An access to our
E-Learning
platform : for the development of languages and other skills
...This list is not exhaustive...
Our Recruitment Process
Step 1 (30 mins):
Intro call with Amélie, Head of Talent Acquisition, to review your path and expectations.
Step 2:
Technical Test evaluated with 2 Data & AI team members.
Step 3 (45 mins):
Final Fit interview with Paolo (Director of Data & AI).
Job type:
P
ermanent
Location :
Remotely in France, Spain or italy
Package :
Annual gross salary package depending of your experience: +/*******K€
Company Premio : 8,33%