Sr. Staff Data Scientist

Northrop Grumman Northrop Grumman · Aerospace · Palmdale, CA +2 · Data Science

This role focuses on developing and implementing advanced digital technologies and mathematical models for manufacturing processes, with a strong emphasis on data analysis, system identification, and model uncertainty analysis. While it involves data science toolkits and model development, the core focus is on industrial manufacturing applications rather than cutting-edge AI research or product development.

What you'd actually do

  1. Provide leadership/direction to ensure technology initiatives and opportunities for process improvements are systematically identified, pursued, and supported.
  2. Develop architectures and concepts for advanced digital technologies with a focus on implementation within Northrop Grumman
  3. Introduce and develop new technologies for the manufacturing floor
  4. Lead projects consisting of cross functional teams of high performing engineers developing advanced systems designs and concepts.
  5. Provide technical leadership and oversight to achieve efficient, effective, and innovative Engineering solutions

Skills

Required

  • 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.

Nice to have

  • 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

What the JD emphasized

  • Secret Clearance
  • Secret Clearance Periodic Re-investigation within the last 5 years