MORSE Corp

Data Scientist

$90K–$180K

Cambridge, MA, Arlington, VA +2 · Full-time · Posted Apr 21, 2025

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Location: Cambridge, MA, Arlington, VA
Arlington, Virginia, United States
Cambridge, Massachusetts, United States
Experience: 5+ years of experience in Data Science or Analysis.
Education: Master’s or Ph.D. in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences, or a related field.
Visa sponsorship: U.S. citizenship required; must be able to obtain a U.S. Security Clearance.

About the job

Conducts data analysis and test and evaluation of AI and machine-learning models, develops algorithms for physical and autonomous systems, and helps transition them into software and embedded applications for national security customers.

What you'll do

Analyze data, test existing machine-learning algorithms, and develop algorithms to model physical and autonomous systems.
Work with engineers to transition algorithms into software applications and real-time embedded systems.
Present concepts, analyses, and test results to customers, stakeholders, and vendors; research new methods for machine learning and data analysis.

What they ask for

U.S. citizenship and ability to obtain a U.S. Security Clearance.
Master’s or Ph.D. in a listed or related field.
Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine-learning methods.
Proficiency in one or more programming languages such as Python, Matlab, C, or C++; demonstrated experience with large, multidimensional, or complex datasets in one or more listed data-management areas.

Nice to have

Prior experience in defense.

Pay

USD 90,000 — USD 180,000 (salary range; base or total pay not specified)

Tools

Python, C, C++, Java, MATLAB

AI focus

Tests and evaluates AI and machine-learning models and algorithms for national security applications, and develops algorithms to model physical and autonomous systems.

Model-written summary · the original posting is authoritative