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

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

WILLCORAnnapolis, MD, United States
9 days ago
Job type
  • Full-time
Job description

Job Title : 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.
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