Senior Data Scientist for Scientific AI - Ames National Laboratory
SPED H - Spedding Hall, United States
USD 114K-220K (estimate) Senior-level Full Time
Tasks
- Architect AI systems for scientific discovery
- Build data management and data integration approaches
- Collaborate with physical science teams
- Deliver advanced computational and AI capabilities
- Design cloud architecture for scientific systems
- Develop machine learning for scientific data
- Establish reproducible research pipelines
- Lead scientific software engineering initiatives
- Manage research projects and teams
- Mentor engineers and scientists
- Optimize performance for HPC and distributed computing
- Perform probabilistic inference
- Sustain probabilistic modeling workflows
Perks/Benefits
- Employee assistance program
- Flexible spending accounts
- Generous vacation
- Holiday and Sick Time
- Life insurance
- Long-term disability
- Medical and dental insurance
- Onsite childcare
- Retirement benefits
- Wellbeing program
- Workflex options
Skills/Tech-stack
Cloud Architecture | Code review | Data Management | Data integration | Distributed Computing | High Performance | High-Performance Computing | Machine Learning | Performance Computing | Performance optimization | Probabilistic Modeling | Probabilistic Programming | Python | Reproducibility | Scientific Software Engineering | Scientific software | Software Engineering | Testing | Version control
Education
Roles
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