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Descripción de la vacante
€45,000 - €55,000 a year
Spain
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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.
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.
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.
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.
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...
Step 1 (30 mins): Intro call with Ikbel, Senior Talent Acquisition, to review your path and expectations.
Step 2 (30 mins): Meeting with the hiring manager to deep dive with him the scope of the role
Step 3 (1 hour) : Technical Test evaluated with 2 Data & AI team members.
Step 4 (30 mins): Final Fit interview with Paolo (Director of Data & AI).
Location : Remotely in France, Spain or italy
Annual gross salary package depending of your experience: +/- 45-55K€
Company Bonus : 8,33%