MORSE

Bayesian Data Scientist

Cambridge, MA, Arlington, VA

Live, first seen by us 87 days ago

Pay: USD 90,000–180,000/yearAnnual period assumed — pay source
Compensation $90,000—$180,000 USD 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.
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Work setting: Not stated
Employment: Not stated

Before you apply

Work authorization: US citizens onlyUS CITIZENSHIP REQUIRED and the ability to obtain a US Security Clearance

What you’ll work on

Full posting

Test and evaluate existing machine learning algorithms and develop advanced algorithms for physical and autonomous…
Build advanced probabilistic models to find AI model limitations and improve explainability
Transition algorithms into software applications and real-time embedded systems with engineers
Present concepts, analyses, and test results to customers, stakeholders, and vendors
Research new statistical and AI-based methods to characterize system performance

From the employer’s posting

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.

Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results.

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.

What you’ll bring

All qualifications

Core experience

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

Preferred experience

Prior experience in defense is a plus

Qualification wording

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

Education & alternatives

- 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

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Posting record

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Status in our records: Live
First seen by us: Aug 8, 202687 days ago
Recorded sightings: 58
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$90K–$180K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 87

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 10,000 similar postings that came down. Coming down is not always a hire.

MORSE is hiring

4 open jobs

Its jobs tend to stay up a long time

Hiring record

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Where the posting names them

- 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.

- 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

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Requirements:

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.

Compensation

$90,000—$180,000 USD

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.

Source details

View original posting ↗

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Pay

Compensation $90,000—$180,000 USD 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.

Location & working pattern