Data Science Expert for Mobility Insights

il y a 4 jours


Paris, Île-de-France Floware Temps plein

We are a cutting-edge startup focused on transforming the mobility and environmental impact domains, leveraging the latest in IoT and AI technologies to provide strategic decision-makers with comprehensive analyses of their mobility projects.

Our work supports the transition towards greener, multi-modal mobility solutions, underpinned by our own IoT sensors and software that automates the decision-making process from start to finish.

About Floware

Floware is a young deeptech startup incubated by France's leading accelerators, including École Polytechnique, HEC Incubator, Moove Lab, and Leonard (Vinci).

We are recognized as a deeptech company by Bpifrance and embedded within a thriving ecosystem at Station F. We pride ourselves on performing cutting-edge R&D in collaboration with prestigious academic institutions.

Job Description

We are looking for an intern who will have the following tasks:

  • Analysing, filtering, cleaning, interpreting, and modelling mobility data from different sources (multi-technology sensors)
  • Comparing and benchmarking data processing and analysis methods and platforms
  • Contributing to the design of theoretical models used to interpret the data produced by the sensors
  • Processing data from measurement campaigns and analysis for our customers: experimental on-premises approaches, deployment on the cloud, integration with our data visualization tools
  • Contributing to Data Science R&D activities

We offer:

  • A competitive salary of up to €1,200 per month, depending on the hiring process scorecard
  • Extensive training opportunities

Qualifications:

  • Master 2-level student specialising in Data Analysis and/or Data Science
  • Theory and practice of data analysis and data science
  • Basic software development skills (Python, C++, etc.)
  • Data visualization
  • Fluency in English
  • PowerBI, interactive data visualization tools in web format
  • Fluency in French


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