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Data Scientist F - M - D H/F - 75
Description du poste
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Free2move
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Paris - 75
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CDI
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Publié le 5 Septembre 2025
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 foryour stay in Italy orbook 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 6 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 5 continents andis 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 +750 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.
JOIN US!
It's exciting, you'll see!The analytics team:
Data science and analytics are at the core of Free2Move products and decision-making. Our team covers a wide range of topics from influencing business decisions, to optimizing all aspects of the business, to putting in production algorithms that govern critical aspects of our products
We work on a number of diverse optimization problems throughout our business such as: user loyalty, fraud detection, churn prediction, supply optimization, damage reduction, demand prediction, yield optimization, customer service analyticsand many more...
Your next missions:
- Explore large datasets and turn them into understandable and actionable insights
- Build scalable analytic solutions using state of the art tools based on large and granular datasets
- Design and execute a stream of analysis and tests to measure the impact of your solutions
- Create precise KPIs and build reliable dashboards in Tableau for monitoring
- Design and build ETLs to support your work
- Build machine learning models to forecast key KPIs
Expected skills:
- A masters degree in a quantitative subject such as engineering, mathematics, statistics, physics.
- At least 3 years of demonstrable hands-on experience as a data scientist solving problems in a business context.
- Passion about statistics and data analysis. You are comfortable with both creating quick order-of-magnitude assessments, as well as crafting deep rigorous analysis.
- Expertise in SQL, business intelligence tools such as Tableau, and a knowledge ofSuperset is a plus.
- Expertise in Python, previous experience in production ML systems is a strong plus.
- Ability to work in english with multiple stakeholders, and can communicate analytical and technical content in an understandable way for different audiences.
Our recruitment process:
1 Step : A first interview with our Head oftalent acquisition managerto get to know you and understand your background and motivation for the role.
2 Step :Case study & technical interview: take home.You will receive a case study 24H before an 1 hour interview with the Team Lead & a team member
3 Step : Interview with, Head of analytics
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!
- Lots of possibilities for development
- Collaboration with multidisciplinary and international teams
- International projects to perfect your background!
- An attractive salary
- No-meetings days to boost your efficiency!
Job type:
- Permanent contractwithin the head office in the heart of the 9th district in Paris or in remote in France, Spain or Italy
- To be filled asap

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