
Senior Staff Data Scientist
Northrop Grumman
full-time
Posted on:
Location Type: Hybrid
Location: Palmdale • California • Florida • United States
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Salary
💰 $178,600 - $310,300 per year
Job Level
About the role
- Provide leadership/direction to ensure technology initiatives and opportunities for process improvements are systematically identified, pursued, and supported.
- Develop architectures and concepts for advanced digital technologies with a focus on implementation within Northrop Grumman
- Interact with customers (internal and external)
- Reach out and work with colleges, universities, government, supplier as part of development and improvement projects
- Introduce and develop new technologies for the manufacturing floor
- Lead projects consisting of cross functional teams of high performing engineers developing advanced systems designs and concepts.
- Provide technical leadership and oversight to achieve efficient, effective, and innovative Engineering solutions
- Apply new technologies as well as common designs and products enabling rapid development, prototyping and affordable solutions.
Requirements
- Bachelor of Science degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 14 years of experience in engineering; OR Master of Science degree in a STEM discipline from an accredited university with 12 years of experience in engineering; OR PhD in a STEM discipline from an accredited university with 10 years of experience in engineering.
- Secret Clearance Periodic Re-investigation within the last 5 years
- Knowledge of data gathering, cleansing and transformation techniques
- Experience with common data science toolkits/languages such as python/R, scikit-learn, PyTorch/TensorFlow, matplotlib, numpy, C++ or python
- Exceptional analytical skills.
- Familiarity with cloud
- Knowledge and experience performing model uncertainty analysis, error modelling, and/or error propagation.
- Knowledge of best practices in data analysis.
- Excellent interpersonal and communication skills.
- Experience developing mathematical models of dynamic systems from first principles.
- Knowledge and experience with System Identification techniques using statistical methods to validate dynamic system models with test data.
- Experience performing parametric and non-parametric system identification.
- Experience with data acquisition systems and/or post-processing experimental test data.
- Fluent with Python or Matlab.
- Documenting processes and maintaining data records.
Benefits
- health insurance coverage
- life and disability insurance
- savings plan
- Company paid holidays
- paid time off (PTO) for vacation and/or personal business
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data gatheringdata cleansingdata transformationpythonRscikit-learnPyTorchTensorFlowC++Matlab
Soft Skills
leadershipanalytical skillsinterpersonal skillscommunication skills
Certifications
Bachelor of Science degreeMaster of Science degreePhDSecret Clearance