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Field Stream Remote Jobs in Virginia (NOW HIRING)

INflow Federal

Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

This is a fully remote position. Here, your work is more than a job - it's a journey in innovation ... Integrate data from APIs, streaming sources, and file-based systems into centralized repositories ...

INflow Federal

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

This is a fully remote position. Here, your work is more than a job - it's a journey in innovation ... Integrate data from APIs, streaming sources, and file-based systems into centralized repositories ...

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Field Stream Remote information

How does a Field Stream Remote role typically collaborate with on-site teams to ensure project success?

In a Field Stream Remote position, effective collaboration with on-site teams is crucial to achieving project goals. This often involves regular virtual meetings, real-time data sharing, and clear communication protocols to stay aligned on project updates and challenges. Remote professionals may utilize project management tools and cloud-based platforms to coordinate tasks, troubleshoot issues, and provide timely feedback. Building strong relationships with on-site colleagues and maintaining proactive communication helps ensure smooth workflow and project continuity, despite the physical distance.

What are Field Stream Remote jobs?

Field Stream Remote jobs typically refer to positions that involve working outdoors in the field, such as collecting data, monitoring environmental conditions, or conducting research, but with the ability to report, analyze, or communicate findings remotely. These roles often leverage technology, such as mobile devices and remote sensing equipment, allowing professionals to perform much of their work outside of a traditional office setting. Field Stream Remote jobs are common in industries like environmental science, wildlife management, and ecological research. Workers in these positions benefit from flexibility, spending time both in natural settings and working remotely, often from home or other locations. This setup is ideal for those who value both fieldwork and the convenience of remote communication and data processing.

What is the difference between Field Stream Remote vs Field Technician?

AspectField Stream RemoteField Technician
CredentialsRelevant certifications, technical knowledgeTechnical certifications, on-site training
Work EnvironmentRemote, field-based, often travel requiredOn-site, field locations, client sites
Industry UsageTelecommunications, utilities, environmental servicesConstruction, maintenance, equipment repair
Work TasksMonitoring, troubleshooting remotely, reportingHands-on repairs, installations, inspections

Field Stream Remote professionals typically work remotely or in the field with a focus on remote monitoring and troubleshooting, while Field Technicians perform hands-on repairs and installations on-site. Both roles require technical skills and certifications, but their work environments and daily tasks differ significantly.

What are the key skills and qualifications needed to thrive as a Field Service Technician, and why are they important?

To thrive as a Field Service Technician, you need strong technical troubleshooting abilities, mechanical or electrical knowledge, and typically a relevant associate degree or technical certification. Familiarity with diagnostic tools, mobile field service software, and equipment-specific certifications like CompTIA or manufacturer credentials are commonly required. Strong communication, problem-solving, and customer service skills help you excel when interacting with clients and adapting to various onsite challenges. These skills and qualities are crucial for ensuring timely, effective equipment maintenance and building trust with customers in remote or dynamic work environments.
What are popular job titles related to Field Stream Remote jobs in Virginia? For Field Stream Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Field Stream Remote jobs in Virginia look for? The top searched job categories for Field Stream Remote jobs in Virginia are:
What cities in Virginia are hiring for Field Stream Remote jobs? Cities in Virginia with the most Field Stream Remote job openings:
Field Stream Remote jobs near you
Principal Scientist - AI/ML Specialization - WFH1651

Principal Scientist - AI/ML Specialization - WFH1651

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 17 days ago

Job description

Clearance Level:
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 10+ years of relevant experience
Education Level: Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.
Briefly Describe the Work:
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. The Principal Scientist leads independent, hands-on analysis of NDF (Network Description File) sensor datasets, provides technical direction across parallel research threads, and serves as the primary technical advisor to the government sponsor. 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. This is a deeply technical, hands-on position - the Principal Scientist conducts analysis directly and does not delegate technical work as a substitute for personal proficiency. The candidate will work within a small, distributed team operating in air-gapped Linux environments on resource-constrained tactical edge hardware, with no cloud computing.
Responsibilities:
  • 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. Advanced degree (MS or PhD) with 10+ years of hands-on applied R&D experience.
Required Skills:
  • 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

Desired Skills:
  • Deep familiarity with RF signal characteristics, sensor phenomenology, and the interpretation of passive receiver data - including recognition of processing artifacts, attribution ambiguities, and the limits of sensor-derived measurements
  • Hands-on experience applying machine learning - particularly metric learning, deep learning networks, or similarity-learning architectures - to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Familiarity with TDMA network protocols, emitter identification techniques (CID/PID), and the signal processing challenges of dense, contested electromagnetic environments
  • Experience with interferometric direction-finding, TDOA geolocation, or related passive geolocation methods, including practical knowledge of their failure modes and accuracy limitations
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing - error ellipses, bearing estimation uncertainty, feature reliability under noise - with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization

Relevant Certifications:
  • 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.

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.
About Global InfoTek, Inc. Global InfoTek Inc. 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. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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