Northrop Grumman Aeronautics Systems is seeking a qualified and innovative Data Scientist (DTW Algorithm Engineer) to join the innovative Model Based Test & Evaluation (MBTE) team where we are advancing cutting-edge technology. We are seeking a creative and driven Staff Engineer Systems Modeling Simulation - Modeling and Tools Development to tackle complex challenges and deliver impactful solutions.
Requirements
- Familiarity with model uncertainty analysis, error modeling, and/or error propagation.
- Knowledge of statistical software.
- Knowledgeable in Python or MATLAB.
- Practical experience with Modern C++ in an Agile development environment.
- Familiarity with Design of Experiments (DOE) and design optimization techniques.
- Published work on advanced algorithms or mathematics.
Responsibilities
- Assist in developing and implementing a Digital Engineering strategy that utilizes Digital Twin technology for validating software and hardware modifications, test regression, and airworthiness verification tests.
- Assist in identifying and solving complex problems to showcase high-fidelity, multi-level vehicle performance virtually.
Other
- Bachelor of Science degree in Science, Technology, Engineering or Mathematics (STEM) discipline with 2 years of relevant experience; OR Master of Science degree in a Science, Technology, Engineering or Mathematics (STEM) discipline with 0 years of relevant experience.
- Your ability to obtain and/or transfer and maintain the final adjudicated government Secret clearance (DoD must be in-scope or enrolled in Continuous Evaluation) and any program access(es) required for the position within a reasonable period of time, as determined by the Company.
- RELOCATION ASSISTANCE: Relocation assistance may be available
- CLEARANCE TYPE: Secret
- TRAVEL: Yes, 10% of the Time
