×
Register Here to Apply for Jobs or Post Jobs. X

Data Scientist- TS​/SCI

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: MORSE Corp
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 210000 USD Yearly USD 110000.00 210000.00 YEAR
Job Description & How to Apply Below

Morse Corp

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.

Position:
Data Scientist

We are searching for a Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems.

Responsibilities
  • Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems.
  • 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 for machine learning and data analysis.
Requirements
  • US CITIZENSHIP REQUIRED and an active Top Secret Security Clearance with SCI eligibility.
  • Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field.
  • 3+ 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.
Compensation

Salary range: $110,000 USD – $210,000 USD. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision, and life insurance. Employees 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. This policy is not an “unlimited” paid leave policy.

Seniority

Level

Mid‑Senior level

Employment type

Full‑time

Job function

Science, Engineering, and Analyst

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary