Alternant(e) - Data Science et Plan d’Experiences : Modélisation des Procédés de Valorisation du CO2 - H/F
Core
Develop an innovative technology to capture and valorize CO2 emitted during waste incineration by designing experiments and modeling results using statistical methods and machine learning.
Role type
Junior data scientist (research & process modeling)
Builds
Process models and experimental plans for CO2 valorization
Domain
Environmental technology / Waste management / Carbon capture
Deliverable
production ML models | research
Required skills
experimental design, statistical modeling, Python, R, SQL, machine learning algorithms, data visualization (pandas, NumPy, Scikit-learn, plotly, seaborn, matplotlib), Git
Preferred skills
Master 2 or final year engineering degree in Statistics, Data Science, or Applied Mathematics
Responsibilities
Understand technical business context of CO2 capture, collect modeling requirements and propose experimental plans, analyze and visualize data from existing or newly created databases, model process parameters, communicate work to the team
Seniority
Junior, student/trainee