Data Scientist

Role Summary

Created in 2016, 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. 5000 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.

Requirements

• 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.
• Annual gross salary package depending of your experience:+/- 45-50K€
• Company Bonus: 8,33%

Benefits

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...

P ermanent

Location: Remotely in France, Spain or italy

About the Company

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.

Additional Information

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).