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

2 days ago

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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

The National Strategic Research Institute (NSRI) at the University of Nebraska is seeking an RF Data Scientist to analyze terabyte-scale RF datasets from deployed sensing systems supporting DoW and USG sponsors. You will develop tools, pipelines, and methodologies to identify trends and anomalies while delivering timely analytical products to program leadership.

Two positions available. Primary location is Omaha, NE with flexible secondary locations based on project needs.

Qualifications

Bachelor's degree in a technical field from an accredited university.
5+ years of relevant professional experience in data science, analytics, or RF analytics.
Experience processing terabyte-scale datasets.
Proficiency in Python, MATLAB, or R for data processing and analysis.
Experience automating data processing workflows.
Ability to meet deadlines and work independently.
U.S. citizenship and ability to obtain security clearance.

Responsibilities

Process and analyze terabyte-scale RF datasets from deployed sensing systems.
Identify trends, patterns, and anomalies in large RF data.
Develop software tools to automate RF data ingestion, processing, and analysis.
Design pipelines to improve speed, accuracy, and repeatability of RF data processing.
Collaborate with field teams and leadership to translate requirements into analysis priorities.
Deliver timely analytical products and reports to sponsors and program leadership.
Maintain data handling and documentation in line with government requirements.
Document methods and tooling for repeatability and knowledge transfer.
Communicate findings clearly to technical and non-technical stakeholders.
Identify opportunities to improve tooling as data needs evolve.
Coordinate with Melbourne, FL program office for planning and activities.
Provide analytical recommendations based on RF findings.

Skills

Python

MATLAB

Data analysis

Big data

Education

Bachelor's degree in Data Science, Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics

Master's degree (preferred)

Tools

HPC

Cloud computing

Distributed computing

Job description

Salary

Starting at $120,000 commensurate with education & experience

Supervisor

TBD

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.

Minimum Qualifications

Bachelor's degree in Data Science, Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, or a closely related technical discipline from an accredited college or university.
Minimum of 5 years of relevant professional experience in data science, quantitative analytics, signor or RF analytics, large-scale data processing, or closely related work.
Demonstrated experience processing and analyzing large-scale (terabyte-range) datasets.
Proficiency in one or more programming languages commonly used for data processing and analysis (e.g., Python, MATLAB, R, or similar).
Experience developing software or scripts to automate and streamline data processing workflows.
Demonstrated past performance in reliably meeting project deadlines in a professional or academic setting.
Ability to work independently and maintain consistent communication.
Strong analytical, organizational, and problem-solving skills.
U.S. citizenship is required for this position because the duties require eligibility for a U.S. Government personnel security clearance. Candidate must be able to obtain and maintain the required U.S. Government security clearance and Sponsor accesses.

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.
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