Data Scientist

• Collaborate with a cross-functional team (designer, product strategy, solution architects) to improve and optimize Monte Carlo–based simulation algorithms for predictive maintenance planning.
• Analyze, refactor, and optimize existing Python code to ensure performance, scalability, and adherence to best practices.
• Benchmark algorithm performance at component and system levels under varying data volumes and hardware configurations (CPU vs GPU).
• Design and execute experiments to evaluate the feasibility of large-scale simulation deployments on cloud environments (Azure preferred).
• Develop proof-of-concept data workflows, including parameterized simulations, scenario scaling, and distribution-based reporting.
• Contribute to defining the Minimum Viable Architecture (MVA), including cost assessment, hardware/software requirements, and integration pathways.
• Produce technical deliverables: benchmark reports, code optimization documentation, cost/performance trade-offs, and recommendations for next phases.
• Work closely with solution architects and fellow data scientists; translate simulation results into actionable insights for product and service offerings.
• Travel for team and client meetings, typically up to 15%.

Senior Data Scientist

Senior Data Scientist

Scientist II, Real World Data Science

Data Scientist

Data Science / Full Stack Development Intern – AI Focus

Stage Utilisation des techniques d'analyse spectrales, Data Science