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 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 🌎 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 +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 analytics and 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 of Superset 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 Amélie our Head of talent acquisition manager to 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 Samson & a team member Alessandro

✅ 3 Step : Interview with Paolo, 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: