MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics, probabilistic modeling, data analysis, data science, and algorithm development in one or more of a variety of fields including generative AI, computer vision, , natural language processing, machine translation, time sequenced data, big data, and advanced metrics. You will join teams performing rigorous Test and Evaluation (T&E) of AI and machine learning systems to give national security customers insights into AI capabilities for solving real-world challenges. Your work will directly contribute to developing technologies that ensure responsible and effective AI deployments across the national security sector.
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.
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.
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
Prior experience in defense is a plus
- Willingness to travel up to 25%
MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
Skills Required
- US citizenship and 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 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 such as Python, Matlab, C, or C++
- Experience with large, multidimensional, or complex data sets (parsing, cleaning, storage strategies, provenance tracking, database formats, parallelized data transformations)
- Good communication skills
- Self-starter and driven
- Prior experience in defense
What the Team is Saying
MORSE Corp Compensation & Benefits Highlights
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Healthcare Strength — Healthcare is described as comprehensive (medical, dental, vision), and feedback suggests the coverage is strong, with one account noting a heavily subsidized family plan under an available option. Listings also reference FSAs and mental health benefits, reinforcing the breadth of medical support.
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Retirement Support — Retirement offerings include a 401(k) plan with employer matching, and feedback suggests this is a meaningful part of the package. Safe Harbor 401(k) references further indicate dependable employer contributions.
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Equity Value & Accessibility — Equity is positioned as accessible through 100% employee ownership, with full-time employees receiving shares upon joining. This structure is presented as a potentially valuable long-term benefit alongside core pay.
MORSE Corp Insights
What We Do
MORSE is a specially selected team of scientists, engineers, and software developers who use asymmetric and unconventional approaches to deploy practical solutions that solve difficult multi-disciplinary problems faced by the US National Security Ecosystem.
Why Work With Us
We have culture of exceptionally talented, smart individuals united by the goal of fielding high-quality, novel technology to support our customers in the National Security Ecosystem. The internal MORSE ethos involves fostering individuals to pursue goals and interests, innovate, and solve hard problems.
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MORSE Corp Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are hybrid and in the office at least 3 days/week. This may vary for teams working with hardware, manufacturing, security, IT, operations, or classified systems.
