Principal Data Scientist / Sr. Principal Data Scientist
Northrop GrummanAbout the role
Description
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.Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation.
Northrop Grumman Aeronautics Systems Sector is seeking a qualified and innovative Principal Data Scientist/Sr. Principal Data Scientist to join our Model Based Test & Evaluation (MBTE) team. This role is pivotal in driving advancements in cutting-edge technology, and we are looking for a creative thinker who thrives in a dynamic environment. This position will be located in Melbourne, Florida.
Note: Due to the classified nature of the work being performed, this position does not offer any virtual or telecommute working options. This is an individual contributor role that can be filled at either level.
Responsibilities may include but are not limited to:
Developing and implementing a Digital Engineering strategy that utilizes Digital Twin technology for validating software and hardware modifications, test regression, and airworthiness verification tests.
Identifying and solving complex problems to showcase high-fidelity, multi-level vehicle performance virtually.
Developing and implementing a Digital Engineering strategy that utilizes Digital Twin technology for validating software and hardware modifications, test regression, and airworthiness verification tests.
Proactively identifying and solving complex problems to showcase high-fidelity, multi-level vehicle performance virtually.
Collaborating regularly with Program Management, external suppliers, and government customers.
Leveraging technical expertise to address complex integration challenges.
Basic Qualifications for Principal Data Scientist:
Bachelor of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline with 5 years of relevant experience; OR Master of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline with 3 years of relevant experience; OR PhD in a Science, Technology, Engineering or Mathematics discipline with 1 year of relevant experience.
Your ability to transfer and maintain the final adjudicated government Secret clearance (DoD must be in-scope or enrolled in Continuous Evaluation) and any program access(es) required for the position within a reasonable period of time, as determined by the Company.
Demonstrated knowledge and experience in model uncertainty analysis, error modeling, and/or error propagation
Proficiency in statistical software.
Basic Qualifications for Sr. Principal Data Scientist:
Bachelor of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline with 8 years of relevant experience; OR Master of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline with 6 years of relevant experience; OR PhD in a Science, Technology, Engineering or Mathematics discipline with 4 years of relevant experience.
Your ability to transfer and maintain the final adjudicated government Secret clearance (DoD must be in-scope or enrolled in Continuous Evaluation) and any program access(es) required for the position within a reasonable period of time, as determined by the Company.
Demonstrated knowledge and experience in model uncertainty analysis, error modeling, and/or error propagation.
Proficiency in statistical software.
Preferred Qualifications:
Knowledgeable in Python or MATLAB.
Practical experience with Modern C++ in an Agile development environment.
Familiarity with Design of Experiments (DOE) and design optimization techniques.
Published work o
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