Radio Frequency Data Scientist

National Strategic Research Institute (NSRI) at the University of Nebraska; Omaha (NE); On-site; USD 108,000 - 132,000; Full time

Benefits offered by this job

Health

Dental

Vision

Employer-paid Life Insurance

Voluntary Life Insurance

AD&D

Long-Term Disability

403(b) Retirement Plan with Employer-M

Paid Time Off

Paid Holidays

Professional Development and Training

Job summary

National Strategic Research Institute (NSRI) at the University of Nebraska is seeking RF Data Scientists to analyze terabyte-scale RF datasets from deployed sensing systems for DoD and USG sponsors. You will develop tools to automate data ingestion, processing, and analysis workflows, and deliver findings to mission teams.

The role requires strong quantitative and programming skills, independent work habits, and travel to government facilities and NSRI sites as needed.

Qualifications

• Master's degree in a quantitative field (Data Science, CS, EE, or related).
• 2-5+ years in data science, analytics, RF analytics, large-scale data processing, or related.
• Experience with RF data, signal processing, spectrum data, or EM datasets.
• Exposure to anomaly detection, pattern recognition, or ML on sensor data.
• Familiarity with big data processing frameworks or cloud/HPC environments.
• Experience supporting DoD/DoW or USG sensor data programs.
• Experience building data visualization tools or dashboards.
• Active U.S. Government security clearance.
• Strong written and verbal communication.

Responsibilities

• Process and analyze terabyte-scale RF datasets from deployed sensing systems.
• Identify trends, patterns, and anomalous RF presence in large datasets.
• Design, develop, and maintain software tools to automate data ingestion, processing, and analysis workflows.
• Develop analytical pipelines to improve speed, accuracy, and repeatability of RF data processing.
• Collaborate with field teams and program leadership to align analysis with mission requirements.
• Deliver timely analytical products and reports per deadlines and sponsor needs.
• Maintain data handling, security, and documentation in line with government standards.
• Document methods, tools, and workflows for repeatability and knowledge transfer.
• Communicate findings to technical and non-technical stakeholders.

Skills

RF analytics

Data science

Machine learning

Signal processing

Data visualization

Big data

Python

Education

Master's degree

Job description

Position Title

Radio Frequency Data Scientist (2 positions available)

Salary

Starting at $120,000 commensurate with education & experience

Supervisor

TBD

Location:

Primary work location will be Omaha, Nebraska (STC), with the secondary work location being USSTRATCOM based on project needs. Alternative worksite and flexible work schedule options may be available based on position requirements, organizational needs, and supervisor approval.

Position Summary

The National Strategic Research Institute (NSRI) at the University of Nebraska is seeking applications for an RF Data Scientist to support the technical mission program in analyzing large-scale radio frequency (RF) datasets collected from deployed sensing systems in support of Department of War (DoW) and United States Government (USG) sponsors. The RF Data Scientist will process, analyze, and interpret terabyte-scale RF datasets to identify trends, patterns, and abnormal RF presence in support of mission requirements.

The RF Data Scientist will work closely with the field teams, engineering staff, and program leadership to develop and refine data processing methods, build software tools that streamline and automate analysis workflows, and deliver timely, accurate findings that directly support ongoing and upcoming deployments.

The ideal candidate has strong quantitative and programming skills, is comfortable working independently against firm deadlines, and has a demonstrated track record of reliably delivering results on schedule. Periodic travel to U.S. Government facilities, Sponsor locations, and other NSRI offices may also be required to support mission planning, program reviews, technical coordination, and other operational requirements.

This position is part of a government-funded project, and employment is contingent upon continued customer funding and performance.

Priority Consideration:

In alignment with our commitment to staff development and internal mobility, current NSRI employees will be given priority consideration for this vacancy, provided they meet the minimum qualifications. Internal candidates are strongly encouraged to apply.

Duties And Responsibilities

• Process, manage, and analyze terabyte-scale (TB-range) radio frequency (RF) datasets collected from deployed sensing systems.
• Apply statistical and analytical methods to identify trends, patterns, and abnormal or anomalous RF presence within large, complex datasets.
• Design, develop, and maintain software tools and scripts to automate and streamline RF data ingestion, processing, and analysis workflows.
• Develop and refine algorithms and analytical pipelines to improve the speed, accuracy, and repeatability of RF data processing.
• Collaborate with the Field Team Lead, RF Field Scientist, and other field personnel to understand collection context and translate mission requirements into analytical priorities.
• Deliver timely, accurate analytical products and reports in accordance with program deadlines and sponsor requirements.
• Maintain data management practices consistent with government data handling, security, and documentation requirements.
• Document analytical methods, software tools, and processing workflows for repeatability and knowledge transfer.
• Communicate findings clearly to both technical and non-technical stakeholders, including program leadership and government sponsors.
• Identify opportunities to improve data processing efficiency, tooling, and analytical approaches as data volumes and mission needs evolve.
• Coordinate periodically with the Melbourne, Florida program office and team members to support planning, training, and program activities.
• Provide analytical recommendations based on RF data findings and identify significant trends, anomalies, or technical issues requiring additional investigation or program attention.
• Perform additional analytical or technical duties as assigned in support of NSRI program operations.

An equivalent combination of education and experience may be considered in lieu of degree

Desired Qualifications

• Master's degree in Data Science, Computer Science, Electrical Engineering, or a related quantitative discipline.
• 2-5+ years of relevant professional experience in data science, quantitative analytics, signor or RF analytics, large-scale data processing, or closely related work, preferred.
• Experience working with radio frequency (RF) data, signal processing, spectrum data, or electromagnetic datasets.
• Experience with anomaly detection, pattern recognition, or machine learning techniques applied to sensor or signal data.
• Familiarity with big data processing frameworks or tools (e.g., distributed computing, cloud-based data processing, or high-performance computing environments).
• Experience supporting DoD/DoW or other USG programs involving sensor data or ISR-related datasets.
• Experience building data visualization tools or dashboards to communicate analytical findings.
• Active U.S. Government security clearance.
• Strong written and verbal communication skills, with the ability to translate technical findings for varied audiences.

Benefits

• Health
• Dental
• Vision
• Employer-paid Life Insurance
• Voluntary Life Insurance (Employee, Spouse, and Child(ren))
• Accidental Death & Dismemberment (AD&D)
• Long-Term Disability (LTD)
• 403(b) Retirement Plan with Employer Matching
• Paid Time Off
• Paid Holidays
• Professional Development and Training Opportunities