Data Scientist: Mission Engineering
El Segundo, California, United States
USD 140K-220K Senior-level Full Time
Tasks
- Apply advanced statistical methods to simulation output
- Build Python data pipelines for ingestion and analysis
- Create data visualizations for technical and non-technical audiences
- Design experimental design plans for simulation campaigns
- Develop reproducible data management and code review standards
- Develop surrogate models for trade studies
- Mentor peers on experimental design and reproducible analysis
- Perform sensitivity analysis
- Quantify uncertainty and characterize risk
- Translate operational questions into analytical approaches
Perks/Benefits
- 401k
- Casual dress code
- Dental insurance
- FSA
- Free lunch
- HSA
- Health insurance
- Life insurance
- No meeting Fridays
- Relocation assistance
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
Adaptive Sampling | Bayesian Inference | Cloud Computing | Code review | Cupy | Data Visualization | Design of Experiments | Distributed Computing | Experimental Design | GPU Computing | HPC | Linux | Machine Learning | Matplotlib | Monte Carlo | NumPy | Pandas | Polars | PyTorch | Pymc | Python | Regression | Reproducible Workflows | SciPy | Scikit-learn | Seaborn | Sensitivity Analysis | Sequential Experimentation | Space Filling Designs | Statistics | StatsModels | Surrogate modeling | Uncertainty Quantification | Version control
Education
Roles
Regions
Countries
States
Cities
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