Data Scientist

Overview

RELOCATION ASSISTANCE:
No relocation assistance available

CLEARANCE TYPE:
Secret

TRAVEL:
Yes, 10% of the Time

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

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
• 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.

• Bachelor of Science degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 12 years of experience in engineering; OR Master of Science degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 10 years of experience in engineering; OR PhD in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 8 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/Tensor Flow, 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.

• Secret Clearance Periodic Re-investigation within the last 5 years
• Special Access Program (SAP) Current
• 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 Power Point
• Experience with high volume…