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

WILLCOR Inc; Maryland; On-site; USD 100,000 - 160,000; Full time

Job summary

WILLCOR Inc. in Maryland seeks a Systems Engineer (SE1–SE3) focused on Data Science and Complex Systems to support mission-critical programs at Annapolis Junction. You will analyze complex systems of systems, work with unstructured data, and develop ML models.

You will apply NLP techniques, use tools like Apache Tika and PDFMiner, and collaborate with multi-disciplinary teams to deliver robust engineering solutions using Python or R and ML frameworks.

Qualifications

• Bachelor’s degree in Systems Engineering, Computer Science, Data Science, or a related field.
• Experience in systems engineering, especially with systems of systems.
• Proficiency in Python and/or R with TensorFlow or PyTorch.
• Strong NLP and data science fundamentals.
• Experience with unstructured data processing using Apache Tika or PDFMiner.
• Ability to create qualitative analyses and visual representations of data.
• Strong written and verbal communication skills.

Responsibilities

• Apply systems engineering to analyze, design, and manage complex systems of systems.
• Develop ML/NLP techniques to extract and process data from unstructured sources.
• Use Apache Tika and PDFMiner for data extraction.
• Create qualitative analyses and intuitive visualizations to support assessments.
• Build data processing pipelines and analytical models in Python or R.
• Design, train, and deploy ML models with TensorFlow or PyTorch.
• Collaborate with multidisciplinary teams to define requirements and deliver engineering products.

Skills

Python

R

NLP

TensorFlow

PyTorch

Data Visualization

Data Processing

Machine Learning

Education

Bachelor's degree in Systems Engineering

Bachelor's degree in Computer Science

Data Science degree

Tools

Apache Tika

PDFMiner

Job description

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

• Annapolis Junction, Maryland

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.