Senior GNSS Data Scientist - Navigation & Analytics

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

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.