Systems Engineer (SE1/SE2/SE3) - Data Science & Complex Systems

Systems Engineer (SE1/SE2/SE3) – Data Science & Complex Systems

Location: Annapolis Junction, MD

Required Clearance: TS/SCI with CI Polygraph

Salary: Commensurate with experience

Position Overview:

We are seeking a motivated and technically skilled Systems Engineer (Levels SE1–SE3) to support systems engineering efforts with a focus on complex systems of systems and data science applications. This role involves working with unstructured and semi-structured data sources, developing machine learning models, and applying advanced analytical techniques to support mission-critical objectives.

Key Responsibilities:

• Apply systems engineering principles to analyze, design, and manage complex systems of systems.
• Develop and apply machine learning and natural language processing (NLP) techniques to extract and process data from a wide range of unstructured and semi-structured documents (e.g., PDFs, CONOPS, DODAF artifacts).
• Utilize tools such as Apache Tika and PDFMiner for data extraction and transformation.
• Perform qualitative analysis and develop intuitive data visualizations to support technical assessments and decision-making.
• Develop custom data processing pipelines and analytical models using programming languages such as Python or R.
• Design, train, and deploy ML models using frameworks such as TensorFlow and PyTorch.
• Collaborate with multidisciplinary teams to define requirements, develop solutions, and deliver high-quality engineering products.

Required Qualifications:

• Bachelor's degree or higher in Systems Engineering, Computer Science, Data Science, or a related technical field.
• Experience in systems engineering, particularly with systems of systems.
• Proficiency in Python and/or R, with experience using TensorFlow or PyTorch for ML development.
• Strong understanding of NLP techniques and data science fundamentals.
• Experience processing unstructured or semi-structured data using tools like Apache Tika, PDFMiner, or similar.
• Ability to conduct qualitative analyses and create compelling visual representations of data.
• Strong written and verbal communication skills.

Preferred Qualifications:

• Experience working with Department of Defense (DoD) documents and architectures (e.g., CONOPS, DODAF).
• Familiarity with model-based systems engineering (MBSE) principles.