System Engineer 3

Gormat; Maryland; On-site; USD 180,000 - 240,000; Full time

Job summary

Gormat in the United States is seeking an experienced Systems Engineer with a data science focus to lead requirements analysis, design, and integration for complex systems. You will guide feasibility studies, produce architecture docs, and interact with government stakeholders on technical considerations.

The role emphasizes NLP/ML, data extraction from unstructured sources, and hands-on data visualization using Python and R in a security-sensitive environment. TS/SCI with polygraph is required.

Qualifications

• Twenty (20) years experience as a SE in programs and contracts of similar scope, type and complexity is required.
• Demonstrated experience in planning and leading Systems Engineering efforts is required.
• Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
• Five (5) years of additional SE experience may be substituted for a bachelor's degree.

Responsibilities

• Analyzes user's requirements, concept of operations documents, and high level system architectures to develop system requirements specifications.
• Analyzes system requirements and leads design and development activities.
• Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies.
• Provides technical leadership for the integration of requirements, design, and technology.
• Incorporates new plans, designs and systems into ongoing operations.
• Develops technical documentation.
• Develops system Architecture and system design documentation.
• Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans.
• Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts.
• Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility.
• Communicates with other program personnel, government overseers, and senior executives.
• Data Scientist: Systems engineering with a focus on complex systems of systems; Data Science, including natural language processing (NLP) and machine learning (ML); Data extraction and processing from unstructured/semi-structured sources (e.g., PDFs, CONOPS, DODAF); Qualitative analytical processes and data visualization; Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch; Experience with data extraction and processing tools like Apache Tika and PDFMiner.

Skills

Data Science

NLP

ML

Python

R

TensorFlow

PyTorch

Data extraction

Data visualization

Education

Bachelor's degree in Systems Engineering or related

TS/SCI With Polygraph

Tools

Apache Tika

PDFMiner

Job description

Job Description

• Analyzes user's requirements, concept of operations documents, and high level system architectures to develop system requirements specifications.
• Analyzes system requirements and leads design and development activities.
• Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies.
• Provides technical leadership for the integration of requirements, design, and technology.
• Incorporates new plans, designs and systems into ongoing operations.
• Develops technical documentation.
• Develops system Architecture and system design documentation.
• Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans.
• Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts.
• Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility.
• Communicates with other program personnel, government overseers, and senior executives.
• Data Scientist: Systems engineering with a focus on complex systems of systems; Data Science, including natural language processing (NLP) and machine learning (ML); Data extraction and processing from unstructured/semi-structured sources (e.g., PDFs, CONOPS, DODAF); Qualitative analytical processes and data visualization; Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch; Experience with data extraction and processing tools like Apache Tika and PDFMiner.

• Analyzes user's requirements, concept of operations documents, and high level system architectures to develop system requirements specifications.
• Analyzes system requirements and leads design and development activities.
• Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies.
• Provides technical leadership for the integration of requirements, design, and technology.
• Incorporates new plans, designs and systems into ongoing operations.
• Develops technical documentation.
• Develops system Architecture and system design documentation.
• Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans.
• Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts.
• Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility.
• Communicates with other program personnel, government overseers, and senior executives.
• Data Scientist: Systems engineering with a focus on complex systems of systems; Data Science, including natural language processing (NLP) and machine learning (ML); Data extraction and processing from unstructured/semi-structured sources (e.g., PDFs, CONOPS, DODAF); Qualitative analytical processes and data visualization; Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch; Experience with data extraction and processing tools like Apache Tika and PDFMiner.

Qualifications

• Twenty (20) years experience as a SE in programs and contracts of similar scope, type and complexity is required.
• Demonstrated experience in planning and leading Systems Engineering efforts is required.
• Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
• Five (5) years of additional SE experience may be substituted for a bachelor's degree.

TS/SCI With Polygraph Is Required.