Data Scientist (f/m/d)

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 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 ️teams️, 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:

• 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 contract within the head office in the heart of the 9th district in Paris or in remote in France, Spain or Italy
- To be filled asap