Senior Data Scientist – Engineering Simulation/ML
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Job Description
Senior Data Scientist at Capgemini Engineering focusing on ML applications in engineering domains. Collaborating with engineers to develop and validate machine learning models for design configurations.
Responsibilities:
- Analyze and model FEA-derived engineering datasets
- Apply uncertainty quantification techniques
- Implement active learning strategies
- Collaborate closely with mechanical engineers
- Select, justify and implement appropriate ML approaches
- Build, validate and iterate on models using Python in an AWS environment
- Work semi-autonomously
Requirements:
- Mechanical or physical engineering domain experience
- FEA dataset fluency
- Strong ML foundations
- Uncertainty quantification
- Active learning
- Production-quality Python
- Autonomous working style
Benefits:
- Health insurance from the first days
- Christmas holidays from 25 December to 31 December
- Сooperation with Superhumans center and Veteran HUB
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