Data Scientist
Tasks
- Build shot diagnostic data pipeline
- Build simulation framework
- Conduct identifiability analysis
- Develop surrogate and reduced order models
- Generate uncertainty aware yield predictions
- Implement radiation source term models
- Join diagnostics with predicted outputs
- Manage model parameters and optimization under constraints
- Perform Bayesian uncertainty quantification
- Publish internal technical derivations and code reviewed
- Simulate machine supporting outputs
Perks/Benefits
- Flexible time off
- Medical, dental, and vision coverage
- Paid parental leave
- Paid time off
- Relocation assistance
- Supportive leave of absence policies
Skills/Tech-stack
Bayesian statistics | Bremsstrahlung | C++ | C++ and Fortran | Data Pipelines | Differentiable physics | Fortran | GPU Acceleration | Hyperbolic PDEs | Identifiability analysis | JAX | Kinetic plasma theory | Line emission | MPI | Machine Learning | Magnetohydrodynamics | Maxwell equations | Neutron yield modeling | NumPy | Numerical Methods | Optimization | Plasma Physics | Power Modeling | Profiling | Pulsed power | Pulsed power modeling | PyTorch | Python | Radiation Transport | Reduced-order models | Reproducible environments | SciPy | Slurm | Surrogate models | Tensor calculus | Testing | Uncertainty Quantification | Vector Calculus | Version control | Xarray | Yield modeling
Education
Roles
Regions
Countries
States
Cities
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