Systems Engineer III - Data Scientist

Intelligent Waves LLC

$165K — $183K *
Information Technology
15+ years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Systems Engineering, Computer Science, or related field; 5 years of experience can substitute for degree.
  • 20+ years of systems engineering experience with a relevant degree, or 25 years without a degree.
  • Experience with large data systems, including Natural Language Processing (NLP) and Machine Learning (ML).
  • Proficient in data extraction from unstructured and semi-structured sources.
  • Experience with Python and/or R, with familiarity with TensorFlow, PyTorch, Apache Tika, and PDFMiner.
  • Active TS/SCI security clearance with a polygraph conducted within the past 10 years.

Responsibilities

  • Manage system and derived requirements throughout the lifecycle to ensure alignment with architectures and stakeholder needs.
  • Establish and manage formal requirements-change processes and maintain traceability.
  • Develop system architectures, including physical architectures and design solutions, considering lifecycle costs and risks.
  • Develop and implement Service-Oriented Architecture (SOA) solutions and DoDAF-compliant views.
  • Provide technical direction for integration and testing of complex hardware/software systems.
  • Develop verification methods and support system testing for DoD certification processes.
  • Manage system configuration and participate in Configuration Control Boards.

Benefits

  • Generous medical, dental, and vision coverage.
  • Paid PTO and life/disability insurance.
  • Investment in employee development with technical training and tuition bonuses.
  • Vesting starts from DAY 1 for additional benefits.
Full Job Description
Overview

Intelligent Waves is seeking a highly experienced System Engineer Level III 6 Data Scientist to support our cybersecurity contract in Linthicum Heights, MD. This senior-level position requires 20+ years of relevant systems engineering experience and combines technical leadership with advanced data science expertise supporting complex systems of systems. The role focuses on natural language processing (NLP), machine learning (ML), data extraction and processing, qualitative analysis, and data visualization, including work with unstructured and semi-structured sources such as PDFs, CONOPS, and DoDAF artifacts. Candidates should be proficient in Python and/or R, with experience or familiarity with technologies such as TensorFlow, PyTorch, Apache Tika, and PDFMiner. The position leads requirements analysis, system architecture and design, integration, testing, implementation planning, and technical documentation while working closely with Government stakeholders and senior program leadership to ensure the technical integrity of systems engineering activities and deliverables.

30e Location: Linthicum Heights, MD

708708Travel: None

6e1e Clearance Requirement: Active TS/SCI level security clearance (with polygraph conducted within the past 10 years).

Salary Range: $165k - $183k Annually

Adherence to all customer site protocols is mandatory for employees.

Responsibilities

Systems Requirements & Requirements Management

  • Manage system and derived requirements throughout the lifecycle, ensuring alignment with defined architectures, stakeholder needs, functional requirements, and allocated hardware, software, facility, and personnel components.
  • Derive and manage lower-level requirements from higher-level requirements, ensuring they are complete, correct, unique, unambiguous, realizable, verifiable, traceable, and aligned with system effectiveness.
  • Establish and manage formal requirements-change processes that evaluate impacts, obtain stakeholder approval, maintain traceability, eliminate ambiguity, and track open actions through resolution.

System Architecture, DoDAF & SOA

  • Develop system architectures, physical architectures, system concepts, design solutions, and alternatives that satisfy requirements while considering lifecycle cost, reuse, complexity, risk, expansion, and growth.
  • Develop and implement comprehensive Service-Oriented Architecture (SOA) solutions and DoDAF-compliant operational, technical standards, system, and services views.
  • Develop operational scenarios, threads, and concepts describing interactions among the system, users, and environment across operational, support, maintenance, and disposal needs.

Systems Engineering & Technical Documentation

  • Develop, review, and approve systems engineering documentation, including Systems Engineering Plans, Initial Capabilities Documents, Requirements Specifications, Interface Control Documents, and JCIDS documentation.
  • Review and provide input to program and contract Work Breakdown Structures (WBS), work packages, and Integrated Master Plans (IMP).

System Integration & Interface Management

  • Provide technical direction for the development, engineering, integration, interfacing, and testing of complex hardware/software systems, including requirements elicitation, functional allocation, systems requirements reviews, concepts of operation, interface standards, system architectures, assessments, and end-to-end flow analysis.
  • Define, document, and manage hardware and software interfaces throughout the system lifecycle, including origination, destination, stimulus, data characteristics, and applicable electrical and mechanical characteristics.
  • Establish formal integration processes across multiple teams, coordinate interface activities, and improve integration strategies based on previous performance and lessons learned.

Verification, Testing & Certification

  • Develop verification methods, processes, evaluation criteria, and written plans to verify systems, subsystems, and work products against established requirements, including early verification planning for new or unproven designs.
  • Support system testing, including planning and test analysis for DoD and other Government Certification and Accreditation (C&A) processes.

Configuration & Lifecycle Management

  • Manage system configuration and technical baselines throughout development, deployment, operations, and maintenance; participate in the Configuration Control Board (CCB) and coordinate actions resulting from CCBs, design reviews, program reviews, and test reviews.

Risk, Analysis & System Performance

  • Assess and manage program risks by determining probability and consequences, developing alternative courses of action and fallback positions, monitoring risks at key milestones, and using Earned Value Management (EVM) data where applicable.
  • Conduct or approve system trade analyses and quantitative assessments of non-functional performance areas, including reliability, maintainability, vulnerability, survivability, and producibility.
  • Use validated models, simulations, and prototyping to reduce system-development risk and cost, including allocation of real-time process and error budgets and development of time-line analysis diagrams.
  • Participate in Integrated Product Teams (IPTs) and Analysis of Alternatives (AoA) efforts to evaluate capabilities and recommend solutions based on operational considerations, assumptions, technology limitations, environmental impacts, and lifecycle costs.

Information Assurance & Security

  • Develop Information Assurance requirements addressing confidentiality, integrity, nonrepudiation, availability, identification, authentication, access control, accountability, cryptography, hashing, key management, and other applicable security mechanisms.

Standards & Interoperability

  • Maintain knowledge of applicable agency, national, and international standards and apply appropriate standards to promote consistency and interoperability across system hardware and software.
Qualifications

Education: Bachelors degree in Systems Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related field.

  • Five (5) additional years of relevant experience may be substituted for the degree.

Experience: Twenty (20) years of systems engineering experience with a bachelors degree, or twenty-five (25) years without a degree.

Large Data Systems: Experience with large data systems, including Natural Language Processing (NLP) and Machine Learning (ML).

Data Extraction: Experience extracting and loading data from unstructured and semi-structured sources, including PDFs, CONOPS, and DoDAF.

Programming: Experience with Python and/or R.

Clearance: Active TS/SCI with polygraph conducted within the past 10 years.

Desired Qualifications
  • Experience with TensorFlow and/or PyTorch.
  • Experience with Apache Tika and/or PDFMiner.

Benefits

Intelligent Waves offers a generous benefits package including medical, dental, vision, paid PTO, life and disability insurance. We invest in our employeess futures by contributing with vesting starting from DAY 1, technical training, tuition bonuses, and much more.

Clearance Statement

Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Only U.S. citizens are eligible for a security clearance. For this position, Intelligent Waves will consider only applicants with current security clearances or those eligible to obtain one.

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