CS27 Bac+5 - Stage Data scientist (H/F)
Core
Develop multimodal data completion approaches for electric vehicle diagnostics to handle missing or uncertain sensor data.
Role type
Intern data scientist (multimodal learning)
Builds
Diagnostic models for electric vehicles
Domain
Automotive / Electric Powertrains
Deliverable
production ML models
Required skills
machine learning, Python, SQL, statistical modeling, uncertainty quantification
Preferred skills
multimodal learning, data imputation, experimental validation
Technologies
Python, SQL
Responsibilities
Review state-of-the-art on multimodal completion, study missing modality reconstruction strategies, implement and evaluate completion models, integrate uncertainty quantification mechanisms, analyze performance across scenarios, validate on real electric vehicle data
Seniority
Intern (Bac+5 / Master 2)
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