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Rf Data Scientist Jobs (NOW HIRING)

Data Scientist 2

Fort George G Meade, MD · On-site

$135K - $145K/yr

Analyze RF data to support identification and characterization of communications technologies ... Stay current with emerging data science techniques and RF technologies that support Intelligence ...

Data Scientist 2

Fort George G Meade, MD · On-site

$135K - $145K/yr

Analyze RF data to support identification and characterization of communications technologies ... Stay current with emerging data science techniques and RF technologies that support Intelligence ...

Markon is seeking a Data Scientist to support the Fort Meade customer by analyzing and visualizing ... Analyze RF data to support identification and characterization of communications technologies ...

You will analyze spectrum and RF data generated by testbeds, experiments, and spectrum studies ... You will use statistical and data-science techniques to explore complex datasets, assess data ...

... with RF engineers, data scientists, and front-end developers to deliver mission-critical technology that has real-world impact Qualifications : Required : • Experience in backend software ...

You will also apply your SIGINT background and experience with RF or PROFORMA data to enhance team ... Other scientific disciplines may qualify if accompanied by 5 or more upper level courses in ...

Perform RF data science/engineering with little guidance and independently write reports detailing methods, results, and impacts to assigned issues * Support in the acquisition of systems, software ...

... RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world's largest ... Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for ...

... RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world's largest ... Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for ...

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Rf Data Scientist information

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$165K

$243.5K

How much do rf data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for rf data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Rf Data Scientist jobs?

For Rf Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Rf Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Radio Frequency Data Scientist

Omaha, NE • On-site

$120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Position Title
Radio Frequency Data Scientist (2 positions available)
Salary
Starting at $120,000 commensurate with education amp; 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
  • Health
  • Dental
  • Vision
  • Employer-paid Life Insurance
  • Voluntary Life Insurance (Employee, Spouse, and Child(ren))
  • Accidental Death amp; Dismemberment (AD amp;D)
  • Long-Term Disability (LTD)
  • 403(b) Retirement Plan with Employer Matching
  • Paid Time Off
  • Paid Holidays
  • Professional Development and Training Opportunities