Staff Data Scientist

Northrop Grumman • Melbourne, FL

123d • $147,700 - $221,500

About The Position

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 Sector has an opening for a Staff Data Scientist to join our team of qualified, diverse individuals within the Model Based Test & Evaluation (MBTE) system. MBTE is currently performing innovative cutting-edge technology that requires a creative thinking individual. This position will be located in Melbourne, Florida.

Requirements

• 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.
• Must have the ability to obtain and maintain DoD secret clearance & Special Program Access (PAR) within a reasonable period, as determined by the company to meet its business needs.
• 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.

Nice To Haves

• Hands-on experience with Modern C++ within an Agile environment.
• Publications on enhanced algorithms or advanced mathematics.
• Experience planning and executing aircraft flight test events.

Responsibilities

• Develop and Execute a Digital Engineering strategy that will be used to validate software and hardware modifications using the Digital Twin to perform test regression and airworthiness verification testing using these models.
• Implement the modeling and analytical roadmap.
• Execute the test campaign for lab, ground, and flight test.
• Be proactive and solve problems to demonstrate virtual, high-fidelity, multi-level vehicle performance.
• Interact frequently with Program Management, external suppliers, and/or government customers.
• Apply technical expertise in solving complex integration problems.

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company paid holidays
• Paid time off (PTO) for vacation and/or personal business

What This Job Offers

• Career Level: Senior
• Industry: Transportation Equipment Manufacturing
• Education Level: Master's degree