As an AI Data Scientist Engineer, you will play a key role in processing and analyzing EEG data. You will be involved in all stages of the data analysis process, from collecting databases to preparing and cleaning data, and applying advanced artificial intelligence techniques to extract relevant insights.

Key Tasks

• Data Collection: Identify and gather relevant EEG databases for our projects.

• Literature Review: Stay up-to-date with the latest research and publications in the field of AI applied to health, especially those related to EEG.

• Data Processing: Pre-process data for analysis, including normalization, transformation, and dimensionality reduction.

• Data Cleaning: Ensure data quality by eliminating or correcting erroneous or incomplete data.

• AI Model Development: Design and train machine learning models for EEG data analysis.

• In the final year of studies at a leading engineering school, with a specialization in AI and data science.

• Previous experience (internships, academic projects, or professional work) in data science or AI, ideally in the health sector.

• A strong interest in the health sector and a desire to contribute to projects with a positive impact.

• Solid technical skills in Python, TensorFlow, PyTorch, as well as in data preprocessing and analysis (+ MATLAB).

• Ability to work independently and in a team, with good adaptability and communication skills.

• Proactivity, intellectual curiosity, and scientific rigor.

• Technical Test: Assessment of programming and data handling skills.

• Technical In-person Interview with Guillaume, our Data Scientist: In-depth discussion on technical skills and previous experiences.

• Interview with Hugo, the CEO: Evaluation of cultural and motivational fit with the company.