Northrop Grumman Aeronautics Systems has an opening for a Staff Data Scientist to join our team of qualified, diverse individuals within the Advanced Manufacturing Technology Organization. This position can be located in San Diego or Palmdale, CA; Clearfield, UT; St. Augustine or Melbourne, FL Locations. Advanced Manufacturing Technology is currently developing innovative cutting-edge technologies that require a creative thinking individual.
In this role, you will:
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
Provide leadership/direction to ensure technology initiatives and opportunities for process improvements are systematically identified, pursued, and supported.
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.
Basic Qualifications:
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 Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 12 years of experience in engineering; OR PhD in a Science, Technology, Engineering or Mathematics (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.
Knowledge and experience performing model uncertainty analysis, error modelling, and/or error propagation.
Fluent with Python or Matlab.
Documenting processes and maintaining data records.
Preferred Qualifications:
Secret Clearance Periodic Re-investigation within the last 5 years
Special Access Program (SAP) Current
Proficient with cloud
Experience in hardware/software integration of manufacturing systems
Experience with querying databases and defining schemas (MS SQL) with the ability to perform data analysis and report findings
Proficient in Microsoft Excel and PowerPoint
Experience with high volume production ETL pipelines
Experience with production assembly/fabrication including Digital Transformation, Augmented Reality/Virtual Reality, Systems Integration, IIoT, RFID, Cloud Based Applications, and/or production manufacturing operations
Working knowledge of classified information systems infrastructure
Digital Manufacturing experience
Architecture, Design & Integration experience for engineering systems and software
Technical Writing capability
Project / Program Management skills (proposal creation, scheduling, budget tracking)
Strong Familiarity with Process Development & Controls
Ability to lead through, overcome and adapt to obstacles and challenges
Ability to deal effectively with change and challenges and helps others to do the same
Ability to travel 10-15% of the time