For the OPS Consulting team, ‘the power to help’ means helping our clients, helping serve the mission, helping our employees and their families, and helping the community. Headquartered in Hanover, MD. OPS Consulting has over two decades of experience specializing in the most mission-critical operations. We are thought leaders and innovators. The ingenuity of our developers, engineers, cyber experts, linguists, and analysts are dedicated to empowering our clients, fulfilling The Mission, and remaining trusted leaders and advisers in national security and technology solutions.
We are looking for a Data Science Software Engineer to join a growing team in Annapolis Junction, MD.
The Data Science Software Engineer will design, develop, and prototype analytics solutions and tools that support compliance and business processing functions. This role will focus on creating automated approaches to streamline compliance processes, enhancing existing capabilities, and researching, integrating, and validating Machine Learning (ML) and Artificial Intelligence (AI) solutions within an R&D environment. The engineer will develop analytical models, establish performance metrics, and implement monitoring capabilities to assess and optimize tools, processes, and data workflows.
Required Skills:
- Proficiency with Java, Scala, and Python
- Experience with Lucene, JEXL, SQL, JSON
- Random Forest and ability to do feature development for Random Forest
- Experience with Machine Learning Model building and monitoring
- Experience developing in a Linux operating environment
- Experience with Ghostmachine (Map/Reduce)
- Experience with GM Learn
- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/Gitlab and/or Stash/Bitbucket
- Experience with Jira and Confluence for project tracking and documentation
- Experience with Scikit-learn
- Agency Compliance standards, policies, and authorities
- Experience with Agency corporate systems
- Experience with documentation and reviewing documentation
Desired Skills:
- Data Science skills/background
- Experience with AWS
- Experience implementing ML systems
- Experience with Spark
- Exploratory Data Analysis (EDA)
- Agentic AI
- Large Language Models (LLM)
- Machine Learning Feature Development
- Other Machine Learning models and techniques
Requirements:
- Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
- Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
- US citizenship and an active security clearance required