Senior GNSS Data Scientist & Navigation Specialist

Johns Hopkins Applied Physics Laboratory; Laurel (MD); Sur place; USD 100 000 - 245 000; Plein temps

Résumé du poste

Johns Hopkins University Applied Physics Laboratory, located in the Baltimore area, seeks an experienced data scientist to advance GNSS data analysis for navigation performance across missions. The role emphasizes predictive analytics, data engineering, and visualization within a collaborative, multidisciplinary team.

You will develop new algorithms, validate satellite signal models, and translate findings into actionable recommendations while mentoring colleagues and engaging sponsors across

Qualifications

• 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++.
• Ability to document sophisticated technical analysis with reports, briefings, and visualizations.

Responsabilités

• 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.

Connaissances

Predictive analytics

Data engineering

Statistical analysis

Data visualization

Technical communication

Formation

Bachelor's degree in quantitative or engineering field

MS or PhD in GNSS/navigation or related field

Outils

Python

MATLAB

C/C++

Git/GitLab

CI/CD

Description du poste

Johns Hopkins University Applied Physics Laboratory, located in the Baltimore area, seeks an experienced data scientist to advance GNSS data analysis for navigation performance across missions. The role emphasizes predictive analytics, data engineering, and visualization within a collaborative, multidisciplinary team.

You will develop new algorithms, validate satellite signal models, and translate findings into actionable recommendations while mentoring colleagues and engaging sponsors across