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Data Scientist- Bayesian Statistics

MORSE Corp

Salary not specified
Sep 29, 2025
Cambridge, MA, US
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MORSE Corp is seeking an experienced Data Scientist to perform rigorous Test and Evaluation (T&E) of AI and machine learning systems to provide national security customers with insights into AI capabilities for solving real-world challenges, ensuring responsible and effective AI deployments.

Requirements

  • 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

Responsibilities

  • 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.
  • 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.

Other

  • 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
  • Good communication skills
  • Self-starter and driven