About the role

  • Sr. Staff Data Scientist leading technology initiatives for advanced manufacturing at Northrop Grumman. Developing architectures for digital technologies and providing technical leadership in engineering solutions.

Responsibilities

  • 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, suppliers 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
  • 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.
  • 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

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

$178,600 - $310,300 per year

Degree requirement

Bachelor's Degree

Location requirements

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