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
Good communication skills
Self-starter and driven
Prior experience in defense is a plus
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.
MORSE Corp Cambridge, Massachusetts, USA Office
MORSE Corp Cambridge, MA Headquarters Office
Located in Kendall Square, we have one of the best views of Boston across the river, great spots for lunch, and easy access to the Red Line and buses.
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