Data Scientist - AI (M/F)

REEV SASHaute-GaronneEURESpublished 06/09/2026
Must-have:PythonCloudDataAI
Machine translation — original language: French.Show original

Your Role

As a Data Scientist, you will be responsible for the design, development, and deployment of embedded AI models that power DREEVEN's intelligent movement. You will transform high-frequency sensor data into real-time decision-making and adaptive control, deploying an AI system that learns and reacts to each user's gait.

This is a unique opportunity to build something deeply meaningful, technically complex, and at the frontier of robotics, medical technology, and artificial intelligence.

Main Responsibilities

Model Development

  • Design and train classification, prediction, and control models via Machine Learning and Deep Learning.
  • Analyze time-series data from IMU, pressure sensors, encoders, and other embedded systems.

ML Operations and Infrastructure

  • Create and maintain end-to-end ML pipelines, from data collection to model deployment and monitoring.
  • Leverage cloud tools for training and monitoring.

Collaboration and Research

  • Work cross-functionally with hardware, software, and clinical teams.
  • Contribute to scientific research, patents, and publications, where applicable.
  • Continuously improve algorithms based on state-of-the-art advancements.

Validation and Iteration

  • Participate in user testing and clinical trials to validate model performance.
  • Continuously improve algorithms based on real-world usage and edge cases.

Essential Skills and Experience

  • Minimum 2 years of professional experience in Data Science, ML Engineering, or robotics AI.
  • Proficiency in programming languages such as Python, C++, or similar.
  • Deep knowledge of TensorFlow or PyTorch and associated quantization/optimization tools.
  • Strong skills in Python, including the use of TensorFlow or PyTorch.
  • Solid understanding of deep learning, both theoretical and practical.
  • Strong experience in time-series analysis and predictive modeling.
  • Knowledge of signal processing and sensor data analysis.
  • Familiar with ML Ops workflows and deployment on embedded systems.
  • Proficiency in SQL, database manipulation.
  • Proven ability to work independently and drive projects from ideation to deployment.
  • Problem Solving: Excellent analytical and complex technical problem-solving skills.
  • Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
  • Proficiency in English (written and spoken) - B2 level or higher.

Bonus Points

  • Knowledge of mechatronics or embedded systems (Arduino, Jetson, Raspberry Pi).
  • Experience in signal processing for IMU or biomechanical data.
  • Previous experience in medical devices or embedded robotics.
  • Experience in embedded systems
  • Experience in MatLab or Simulink.
  • Experience with on-target embedded AI models (microprocessors and/or microcontrollers).