Drimva

MORSE Corp

Bayesian Data Scientist

$90K–$180K

Cambridge, MA, Arlington, VA +2 · Full-time · Posted Aug 6, 2026

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, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences, or a related field.
Visa sponsorship
U.S. citizenship required; ability to obtain a U.S. Security Clearance.

About the job

Performs Bayesian data analysis and evaluates and develops algorithms and probabilistic models to characterize AI and machine-learning system performance for national security applications.

What you'll do

  • Analyze and test existing machine-learning algorithms and develop advanced algorithms for modeling physical and autonomous systems.
  • Develop probabilistic models to identify AI model limitations and improve explainability; transition algorithms into software and embedded systems.
  • Research methods, present analyses and test results to customers and stakeholders, and recommend solutions to complex data problems.

What they ask for

  • U.S. citizenship and ability to obtain a U.S. security clearance.
  • Master’s or Ph.D. in a listed relevant field or a related field.
  • Solid understanding of data analysis and relevant technical topics such as statistics, algorithms, optimization, and machine learning.
  • Proficiency in one or more programming languages and demonstrated experience working with large, multidimensional, or complex datasets.

Nice to have

  • Prior experience in defense.

Pay

$90,000 — $180,000 USD (base salary)

Tools

Python, C, C++, Java, MATLAB

AI focus

Test and evaluate AI and machine-learning systems; develop probabilistic models to identify model limitations and enhance explainability, supporting responsible and effective AI deployment.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)