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Northrop Grumman · 2 months ago

Principal Data Scientist / Sr. Principal Data Scientist

Melbourne, FL

Full-time

Onsite

Senior Level, Lead/Staff

$105K/yr - $196K/yr

4+ years exp

Northrop Grumman is a leading company in technological advancements, seeking a Principal Data Scientist/Sr. Principal Data Scientist to join their Model Based Test & Evaluation team. This individual will drive advancements in technology, focusing on Digital Twin technology for software and hardware validation, while solving complex problems and collaborating with various stakeholders.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

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

Qualification

Model uncertainty analysisStatistical softwareError modelingError propagationPythonModern C++Design of Experiments

Required

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

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

Demonstrated knowledge and experience in model uncertainty analysis, error modeling, and/or error propagation

Proficiency in statistical software