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Gnss Data Scientist Jobs (NOW HIRING)

GNSS Data Scientist Associate

Austin, TX · On-site

$88.50 - $120K/hr

GNSS Data Scientist Associate Hiring Department Applied Research Laboratories Position Open To All Applicants Weekly Scheduled Hours 40 FLSA Status Exempt from FLSA Earliest Start Date Immediately ...

Senior GNSS Data Scientist

Austin, TX · On-site

$104 - $174K/hr

... for GPS/GNSS data collection and analysis. * Evaluate and develop new metrics, algorithms ... Bachelor's degree in Science, Engineering, Computer Science, or related field. * Three years of ...

$100K - $130K/yr

Multi-GNSS Data Analyst Full Time 40 Greenbelt, MD, Lanham, MD, US Salary Range: $100,000.00 To $130,000.00 Annually Science Systems and Applications, Inc (SSAI) is seeking an experienced and skilled ...

GNSS Scientist

Washington, DC · On-site

$105K - $135K/yr

Naval Observatory (USNO) provides precise time, Earth orientation and astronomical data to the U.S ... CPI is seeking a GNSS Analyst or Mathematician to support the GPS Analysis Division of the EO ...

Naval Observatory (USNO) provides precise time, Earth orientation and astronomical data to the U.S ... CPI is seeking a GNSS Analyst or Mathematician to support the GPS Analysis Division of the EO ...

GNSS Scientist

Washington, DC · On-site

$105K - $135K/yr

Naval Observatory (USNO) provides precise time, Earth orientation and astronomical data to the U.S ... CPI is seeking a GNSS Analyst or Mathematician to support the GPS Analysis Division of the EO ...

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Gnss Data Scientist information

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How much do gnss data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for gnss 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 is a GNSS Data Scientist?

A GNSS Data Scientist is a professional who specializes in analyzing and interpreting data from Global Navigation Satellite Systems (GNSS), such as GPS, GLONASS, Galileo, and BeiDou. They use statistical and computational techniques to process satellite signals, improve positioning accuracy, and develop solutions for navigation, geolocation, and timing applications. GNSS Data Scientists work across industries like transportation, surveying, agriculture, and autonomous vehicles, often collaborating with engineers and software developers to turn raw satellite data into actionable insights.

What are some typical challenges a GNSS Data Scientist faces when interpreting satellite navigation data?

A GNSS Data Scientist often deals with challenges such as mitigating signal interference, accounting for atmospheric effects, and handling large volumes of real-time data from multiple satellite systems. Ensuring data accuracy and integrity requires a strong understanding of signal processing and statistical analysis. Collaboration with engineers and software developers is common, as solutions frequently involve both algorithmic and hardware considerations. Staying current with evolving satellite technologies and global standards is also essential to success in the role.

What are the key skills and qualifications needed to thrive as a GNSS Data Scientist, and why are they important?

To thrive as a GNSS Data Scientist, you need a solid background in geospatial sciences, statistics, and computer science, often supported by a degree in geoinformatics or related fields. Proficiency with programming languages (such as Python or MATLAB), GNSS processing software, and data analytics platforms is essential. Exceptional analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex datasets and present findings clearly. These competencies are crucial for ensuring accurate positioning solutions, supporting innovation, and driving data-driven decisions in navigation and location-based projects.

What is the difference between Gnss Data Scientist vs Geospatial Data Scientist?

AspectGnss Data ScientistGeospatial Data Scientist
Required CredentialsBachelor's/Master's in Geospatial Science, Data Science, or related fields; experience with GNSS dataBachelor's/Master's in Geography, GIS, or Data Science; familiarity with spatial analysis
Work EnvironmentResearch labs, tech companies, aerospace firms focusing on satellite navigationGovernment agencies, GIS firms, environmental organizations using spatial data
Industry UsageNavigation, autonomous vehicles, satellite technologyUrban planning, environmental monitoring, mapping

Gnss Data Scientists specialize in analyzing satellite navigation data, focusing on positioning accuracy and signal processing. Geospatial Data Scientists work broadly with spatial data for mapping and analysis. While both roles require data analysis skills, Gnss Data Scientists focus more on satellite signals, whereas Geospatial Data Scientists handle diverse geographic datasets.

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

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

Infographic showing various Gnss Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

GNSS Data Scientist Associate

Austin, TX • On-site

The University of Texas at Austin
Education • 10K+ employees

$88.50 - $120K/hr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz


Job description

Job Posting Title:
GNSS Data Scientist Associate
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Hiring Department:
Applied Research Laboratories
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue
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Location:
PICKLE RESEARCH CAMPUS
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Job Details:
Purpose
Design, develop, and maintain software and systems for the collection, processing, and analysis of satellite navigation signals in the Space and Geophysics Laboratory (SGL).
Responsibilities
  • Independently develop new data processing and analysis software as required using Python, C/C++, or scripting to satisfy project objectives.
  • Perform analysis of observation and navigation data using established software tools, repositories and libraries in accordance with established internal practices.
  • Contribute to analyses and characterizations of GPS/GNSS
  • Identify improvements and new methods for GPS/GNSS data collection and analysis. Evaluate and develop new metrics, algorithms, processing techniques with modernized GPS and GNSS signals. Contribute to testing and routine assessments of GPS and GNSS receiver performance. Provide supporting information for project reviews and technical interface meetings. Identify future analytical software and hardware resource requirements. Assist with data archive organization and maintenance. Further develop knowledge of GNSS and related domains.
  • Document progress and completion of work.
  • Other related functions as assigned.

Required Qualifications
  • Bachelor's degree in Science, Engineering, Computer Science, or related field.
  • Python or C/C++ coursework or experience.
  • Data analysis coursework or experience.

Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks. The position will require attention to detail, effective problem-solving skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with all groups of clients. Able to work under pressure and accept supervision. Regular and punctual attendance.
US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.
Preferred Qualifications
  • Master's degree in Science, Engineering, Computer Science, or related field.
  • GPS/GNSS coursework or experience.
  • Work experience with revision control systems such as Gitlab.
  • Demonstrated experience and proficiency with Python and C/C++.
  • Professional experience as a software developer.
  • Understanding of data analysis and processing within AWS cloud infrastructure.
  • Knowledge of design and development of digital signal processing (DSP) algorithms and techniques.
  • Experience with SQL and relational databases.
  • Cumulative GPA of 3.0 with a GPA of 3.5 in major coursework.

General Notes
An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.
Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.
Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.
UT Austin offers a competitive benefits package that includes:
• 100% employer-paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays
Please visit our Human Resources (HR) website to learn more about the total benefits offered.
Salary Range
$88.500-$120,000+/negotiable depending on qualifications
Working Conditions
  • Standard office conditions
  • Repetitive use of a keyboard at a workstation
  • Use of manual dexterity
  • Some weekend, evening and holiday work
  • Possible interstate/intrastate travel

Required Materials
  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest
  • Unofficial college transcripts

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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