Innovate. Disrupt, Field.
MORSE Corp Logo

MORSE Corp

Data Scientist- TS/SCI

Reposted 11 Days Ago
Easy Apply
Hybrid
Arlington, VA
110K-210K Annually
Mid level
Easy Apply
Hybrid
Arlington, VA
110K-210K Annually
Mid level
Analyze and evaluate machine learning algorithms, develop advanced algorithms for modeling, and collaboratively transition them to software applications, while engaging with stakeholders and researching innovative solutions.
The summary above was generated by AI

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 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



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
$110,000$210,000 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.

 

Similar Jobs at MORSE Corp

2 Days Ago
Easy Apply
Hybrid
Easy Apply
90K-210K Annually
Senior level
90K-210K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Defense
Lead Data Scientist will define goals and metrics for algorithm Test & Evaluation, research T&E methodology, lead vendor coordination, present analyses and results to stakeholders, and transition algorithms into software and real-time embedded systems.
Top Skills: AIAlgorithm DevelopmentAlgorithm Test And Evaluation (T&E)Big DataMachine LearningMachine TranslationNatural Language ProcessingTime-Sequenced DataVisual Classification
4 Hours Ago
Easy Apply
Hybrid
Easy Apply
90K-210K Annually
Senior level
90K-210K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Defense
Perform Bayesian and probabilistic modeling, test and evaluate ML/AI systems, analyze complex datasets, develop algorithms, and transition solutions into software and real-time embedded systems for national security customers. Communicate results and propose technical paths forward.
Top Skills: Bayesian StatisticsBig DataCC++Computer VisionDatabasesGenerative AiJavaMachine TranslationMatlabNatural Language ProcessingParallelized Data TransformationsProbabilistic ModelingPythonReal-Time Embedded SystemsTime-Sequenced Data
4 Hours Ago
Easy Apply
Hybrid
Easy Apply
90K-210K Annually
Mid level
90K-210K Annually
Mid level
Aerospace • Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Defense
Design, implement, and optimize computer-vision and multimodal ML algorithms; acquire and manage truth data; run experiments and rigorous evaluations; use MLOps tools for reproducibility; integrate and transition models to production (cloud, on‑prem, or embedded); track research advancements and analyze field-test data.
Top Skills: AimstackAirflowAWSAzureComputer VisionDockerLlmMlflowMlopsObject DetectionPythonTracking

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account