Job description

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 Corp is seeking Data Scientist co-ops to help develop analysis and application software for artificial intelligence and machine learning applications. Experience with a broad range of development stacks is highly desired. Candidate should be a highly motivated self-starter with good communication skills, and should be able to work in an iterative and agile development style. If you have a broad set of data science and software skills, and want to make an impact helping deploy AI solutions to our customers in the Dept of Defense, then we are interested in you! RESPONSIBILITIES: Prepare, manage, and analyze AI data using Python Perform data analysis tasks, including understanding performance metrics, understanding the impact of different metadata characteristics on model performance, building tools for simulating model outputs to be used in operator experiments Create data visualizations for presenting and communicating results and solutions Assist with the development, execution, and testing of Machine Learning models Design and build analysis and application software using Python Collaborate with cross-functional teams to define, design, and ship new features Continuously discover, evaluate, and implement new technologies to maximize development efficiency REQUIREMENTS: US Citizenship required and ability to obtain a US Security Clearance. Working towards a BS or BA degree in Computer Science, Data Science, Engineering, Applied Mathematics, Physics, or a related quantitative subject. Python proficiency An interest in Artificial Intelligence, Machine Learning, Computer Vision, GenAI, LLMs, and other data types Experience performing statistical analyses and building data visualizations Experience with third-party data science libraries such as scikit-learn, pandas, numpy is a plus Exposure to tools like Spark, PySpark, Docker, or Docker-compose is a plus Solid understanding of version control systems (we use Git) Good communication skills and the ability to have fun when working MORSE Corp’s pay 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. Compensation $28 — $33 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 while maintaining a collaborative, enjoyable work experience for our employees. For more information, please visit www.morsecorp.com .

Requirements

Must-haves

Prepare, manage, and analyze AI data using Python
Create data visualizations for presenting and communicating results and solutions
Assist with the development, execution, and testing of Machine Learning models
Design and build analysis and application software using Python
Collaborate with cross-functional teams to define, design, and ship new features
Continuously discover, evaluate, and implement new technologies to maximize development efficiency
US Citizenship required and ability to obtain a US Security Clearance.
Working towards a BS or BA degree in Computer Science, Data Science, Engineering, Applied Mathematics, Physics, or a related quantitative subject.
Python proficiency
An interest in Artificial Intelligence, Machine Learning, Computer Vision, GenAI, LLMs, and other data types
Experience performing statistical analyses and building data visualizations
Solid understanding of version control systems (we use Git)
Good communication skills and the ability to have fun when working

Nice-to-haves

Experience with third-party data science libraries such as scikit-learn, pandas, numpy is a plus
Exposure to tools like Spark, PySpark, Docker, or Docker-compose is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningagileaipythondocker

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision