Global InfoTek, Inc. logo
Global InfoTek, Inc.

Where rising standards meet global demands.

Principal Scientist – AI/ML Specialization

Research ScientistResearch ScientistFull TimeRemoteLeadTeam 51-200Since 2001H1B No SponsorCompany SiteLinkedIn

Location

Virginia

Posted

39 days ago

Salary

$100K - $300K / year

Seniority

Lead

Postgraduate Degree10 yrs expExperience acceptedEnglishCloudPython

Job Description

Principal Scientist – AI/ML Specialization

Global InfoTek, Inc.

• Conduct independent, hands-on data analysis on RF sensor datasets using Python and Jupyter notebooks — formulating hypotheses, writing and running analytical code, interpreting results, and producing findings that directly advance program research objectives • Provide technical advice and research direction across a multidisciplinary team; define analytical objectives, review and validate technical outputs from AI/ML engineers and software developers, and ensure coherence across parallel research threads • Serve as primary technical advisor to the government sponsor: translate operational requirements into research objectives, communicate findings clearly to non-specialist stakeholders, and maintain program alignment with sponsor priorities through written reports and technical presentations • Design and execute analytical investigations into RF sensor data quality, emitter behavior, and attribution reliability — including characterizing error sources, identifying systematic artifacts, and developing methods to distinguish real physical signatures from sensor or processing artifacts • Produce technical documentation — working notes, research findings, monthly status reports, and briefing materials — that accurately represent the scope and confidence level of analytical results • Expert-level career professional recognized as a technical authority in RF systems, signals intelligence, or a closely related applied domain. Exercises broad independent judgment in defining research approach, evaluating methods, and interpreting results. Operates with minimal supervision; accountable for the scientific integrity and practical relevance of program research outputs.

Job Requirements

  • 10+ years of hands-on applied R&D experience in RF systems, signals intelligence, electronic warfare, or related domains.
  • Proven ability to quickly acquire domain knowledge; specifically in the areas of wireless digital communications and military techniques, tactics, and procedures
  • Demonstrated ability to independently develop and execute data analyses in Python or equivalent tools on real sensor datasets; must be capable of writing production-quality analytical code, not merely directing others to do so
  • Experience addressing common problems with large quantities of real-world data, such as imputation, noise, bias, and errors
  • Track record of working effectively on constrained-hardware edge systems — no cloud, no discrete GPU — with attention to computational efficiency and multi-core, multi-thread performance on x86 platforms
  • Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field.
  • Professional certifications in data science, signal processing, or related technical fields. Advanced academic credentials (PhD, MS) in a relevant quantitative discipline are strongly preferred and may substitute for certifications.

Benefits

  • Health insurance
  • Paid time off
  • Professional development opportunities

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