GNSS Data Science and Navigation Analyst

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Benefits offered by this job

Comprehensive benefits package

Educational assistance

Flexible spending accounts

Job summary

Johns Hopkins Applied Physics Lab in Laurel, Maryland is looking for a motivated data scientist to enhance GNSS-based navigation systems that contribute to national security. This role involves analyzing flight test GNSS data, developing innovative algorithms, and collaborating with a dedicated team of navigation specialists.

The ideal candidate will possess a B.S. degree in a relevant field, 8+ years of experience in navigation, and proficiency in programming languages such as Python and MATLAB. A comprehensive benefits package and a competitive salary ranging from $100,000 to $245,000 annually are offered.

Qualifications

• 8+ years of technical experience, with 5+ years in a navigation-related field.
• Ability to obtain a Secret security clearance.
• Experience in GNSS navigation or alternative Position Navigation and Timing systems.

Responsibilities

• Analyze GNSS data for navigation performance insights.
• Develop and enhance innovative algorithms for navigation.
• Lead cross-functional teams to meet sponsor needs.

Skills

Data analysis

Predictive analytics

Programming in Python

Machine learning

Education

B.S. in Data Science, Engineering or related

Tools

MATLAB

C/C++

Job description

Description

Ready to make impactful contributions in GNSS-based navigation to improve the reliability, accuracy, and effectiveness of our nation’s strategic deterrent weapon systems?

Interested in modeling the effects of missile kinematics on GPS signal propagation and reception in large-scale test flights, and characterizing the performance of deployed flight hardware?

Eager to develop and evaluate forward-thinking GNSS and alternative navigation solutions together with a dedicated, collaborative team, in order to tackle national security challenges?

We are looking for an inquisitive, motivated data scientist to delve into flight test GNSS data, focusing on the post‑processed RF signal records collected during each test. By converting these records into clear, quantitative performance metrics, you will deliver recommendations that drive next generation navigation instrumentation.

In this role you will conduct in‑depth assessments, devise innovative algorithms, and team with multidisciplinary experts to define instrumentation and sustainment requirements that keep our systems aligned with the nation’s evolving strategic deterrence objectives. Join a forward‑thinking team of satellite navigation specialists whose blend of algorithm development, data analytics, and custom hardware design directly supports the nation!

As a GNSS data science and navigation analyst, you will…

• Analyze GNSS data to extract detailed insights of navigation performance for various missions, through predictive analytics, data engineering, and visualization.
• Evaluate emerging GPS and GNSS technology (e.g., GPS modernization, contested‑environment operation, alternate navigation options) and translate into recommendations.
• Develop your proficiency in navigation satellite signal physics and receiver technology.
• Lead cross‑functional teams to respond to sponsor needs.
• Implement, build, and enhance innovative algorithms as we improve our simulation and data science tools to deliver insightful analysis.
• Build team knowledge‑base and collaborate with staff across all experience levels, establishing yourself as a technical authority on satellite‑based positioning applications.

Qualifications

• Hold a B.S. in a quantitative or engineering field such as Data Science, Applied Physics, Computer Science, Electrical Engineering, Aerospace Engineering, or Mathematics.
• Demonstrated track‑record of systematically exploring innovative ways to improve the fundamentals of navigational accuracy through predictive analysis and data engineering.
• Have at least 8 years of technical experience and at least 5 years of exposure to a navigation‑related field.
• Proficient in at least one scientific programming language such as Python, MATLAB, or C/C++.
• Established ability to engage both technical experts and program management, and document sophisticated technical analysis with compelling reports, briefings, and visualizations.
• Are able to obtain a Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you…

• Hold an M.S. or Ph.D. in a relevant subject area.
• Possess a minimum of 10 years engaged in GNSS navigation or alternative Position Navigation and Timing systems.
• Have a solid foundation in statistical data analysis, Kalman filtering, signal propagation physics, and/or machine learning.
• Possess software development experience with a focus on Matlab and Python, including use of Git/GitLab with Continuous Integration.
• Are familiar with the strategic deterrence mission.
• Have demonstrated project leadership and mentoring skills.
• Hold an active Top Secret level clearance.

Compensation

• Minimum Rate: $100,000 Annually
• Maximum Rate: $245,000 Annually

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [e-mail].

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign‑on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short‑term disability, long‑term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.