Principal Scientist - AI/ML Specialization - WFH1651 with Security Clearance
Not Disclosed•Full-TimeRemote
location_on2113, Glencourse Lane, Glencourse Cluster, Reston, Fairfax County, Virginia, 20191, United States
About Global InfoTek, Inc.
Global InfoTek, Inc. (GITI) has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. For over two decades, GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices to deliver critical solutions.
About the Role
GITI is seeking a Principal Scientist to serve as the senior technical authority on an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. This is a deeply technical, hands-on position where the Principal Scientist conducts analysis directly rather than delegating technical work as a substitute for personal proficiency.
You will lead independent analysis of NDF (Network Description File) sensor datasets, providing technical direction across parallel research threads. The role spans the full research lifecycle: formulating hypotheses, writing and executing analytical code in Python and Jupyter notebooks, interpreting and validating results, and communicating findings to both technical peers and non-specialist stakeholders. As the primary technical advisor to the government sponsor, you will translate operational requirements into research objectives and maintain program alignment through written reports and technical presentations.
The work environment is distinct and challenging. You will operate within a small, distributed team in air-gapped Linux environments on resource-constrained tactical edge hardware, with no cloud computing available. Success in this role requires expert-level judgment to define research approaches and evaluate methods with minimal supervision, ensuring the scientific integrity and practical relevance of all program outputs.
Hiring Process
Candidates must possess US Citizenship and a Public Trust clearance (Secret Eligible). The application process involves a review of qualifications against the required advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field, or equivalent experience.
Equal Opportunity
Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Work location
Work model: Remote
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Skills, education and keywords
Skills: Python, Jupyter Notebooks, Linux, RF Systems, Signals Intelligence, Electronic Warfare, Wireless Digital Communications, Machine Learning, Metric Learning, Deep Learning Networks.
Education: Advanced degree (PhD) in Electrical Engineering, Computer Science, or related field.
Frequently asked questions about Principal Scientist - AI/ML Specialization - WFH1651 with Security Clearance at Global InfoTek, Inc.
What does a Principal Scientist - AI/ML Specialization - WFH1651 with Security Clearance at Global InfoTek, Inc. do?expand_more
In this Principal Scientist - AI/ML Specialization - WFH1651 with Security Clearance at Global InfoTek, Inc. role, you will conduct independent, hands-on data analysis on rf sensor datasets using python and jupyter notebooks; provide technical advice and research direction across a multidisciplinary team; serve as primary technical advisor to the government sponsor; and design and execute analytical investigations into rf sensor data quality and emitter behavior.
What are the requirements for this Principal Scientist - AI/ML Specialization - WFH1651 with Security Clearance role?expand_more
Global InfoTek, Inc. is looking for candidates who meet the following requirements: US Citizenship required; Public Trust clearance (Secret eligible); 10+ years of relevant experience; Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or related quantitative field; Expertise in RF systems, signals intelligence, or electronic warfare; and Proficiency in Python and Jupyter notebooks for data analysis.