Sr. Staff Data Scientist

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 Provide leadership/direction to ensure technology initiatives and opportunities for process improvements are systematically identified, pursued, and supported. 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. 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. Experience with common data science toolkits/languages such as python/R, scikit-learn, PyTorch/TensorFlow, matplotlib, numpy, C++ or python Experience developing mathematical models of dynamic systems from first principles. 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. 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