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Navigation System Data Scientist
Johns Hopkins Applied Physics Lab in Laurel, Maryland
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Date Posted 08/08/2019
Science-Computer Sciences
Employment Type Fulltime
Application Deadline Open until filled

Job Description 

Navigation System Data Scientist-21553 


Position Description

We are seeking a Data Scientist/Statistician to apply mathematical rigor and insight to analysis into the Navy's most accurate and reliable ship and shore based navigation systems..  


As a Navigation System Data Scientist/Statistician … 

  • You will provide unique insight into the analysis of state-of-the-art US Navy navigation systems operating under highly challenging environments

  • You will investigate mathematically challenging issues concerning highly valued US Navy missions and their assets. 

  • You will join a highly talented and motivated team with many opportunities to collaborate with other innovative experts in a variety of technical fields


Your tasks will involve 

  •  Developing state of the art tools to statistically characterize navigation system accuracy and reliability - the results of which are a critical component to the warfighter’s planning and deployment of their tactical and strategic assets 
  • Deriving the mathematical models governing the performance of  navigation systems inertial navigation systems, GPS systems, navigational sonars 
  • Collaborating with a team building a high fidelity Navigation Error Estimator (specifically a Kalman Filter with several hundred error states) to determine the accuracy of the Navy’s SSBN Navigation System 
  • Applying machine learning tools to gain new insight into navigation system performance and efficiently predict hardware failures or degradation
  • Developing state of the art navigation sensor fusion algorithms for US Navy platforms    
  •  Reporting analysis results to APL staff and Government Sponsors





You meet our minimum qualifications for the job if you...

  • Have a M.S. in Statistics, Mathematics, Physics, Engineering or similar technical field. 
  • Have practical experience in multivariable statistics and statistical testing
  • Have experience with MATLAB, Python, C++, or Java Programming languages
  • Enjoy writing software to solve large technical problems
  • Have the verbal and writing skills and disposition necessary for documenting and presenting work to APL colleagues and government sponsors 
  • Enjoy solving challenging technical problems requiring both self-motivated independent investigation and collaborative team effort 
  • Have experience analyzing complex systems
  • Have the ability to obtain a Top Secret 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...

  • Have a PhD in Statistics, Mathematics, Physics, Engineering or similar technical field  
  • Have experience modeling navigation sensors including IMUs, GPS, navigational sonars (Doppler Velocity Log, Correlation Velocity Log)
  • Have experience in optimal and parameter estimation
  • Have a Top Secret security clearance
  • Have experience with Kalman filters and modern system estimation methods

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. With a wide selection of challenging, impactful work and a robust education assistance program, APL promotes a culture of life-long learning. Our employees enjoy generous benefits and healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at


APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, veteran status, or any other characteristic protected by applicable law.

Primary Location

 *United States-*Maryland-*Laurel
*Please mention to employers when applying for this job*
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