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# Bayesian Data Scientist

- **Company:** MORSE Corp
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $90,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Algorithm Design, Data Analysis, Software Applications, C++ (Programming Language), Databases, Data Files, Python (Programming Language), MATLAB, Machine Learning, Information Technology, Programming Languages
- **Published:** August 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=84882f1b1600949e

## About the Role

* US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
 * Masters or Ph.D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field
 * 5+ years of experience in Data Science or Analysis
 * Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods
 * Proficiency in one or more programming languages like Python, Matlab, C, or C++
 * Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations
 * Good communication skills
 * Self-starter and driven
 * Prior experience in defense is a plus

## Description

* Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,
 * Develop and implement advanced probabilistic models to identify limitations within AI models and enhance their explainability.
 * Work with MORSE's current team of engineers to transition algorithms to software applications and real-time embedded systems.
 * Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.
 * Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results.
 * Present a path forward and solutions to solve complex data problems.
 * Research and identify new methods, from statistical techniques to AI-powered analyses, that analyze and best characterize the performance of in-development and deployed systems.


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