Data Scientist / ML Engineer

KSA Integration

$90K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data science, machine learning, or AI engineering.
  • Proficiency in Python, R, or equivalent, with hands-on experience in ML frameworks like TensorFlow or PyTorch.
  • Designing and deploying ML models in production environments.
  • Strong data engineering skills, including SQL and ETL processes.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Familiarity with military logistics data systems is a strong advantage.
  • Understanding of responsible AI principles and model governance.

Responsibilities

  • Design, develop, and deploy machine learning models and AI solutions for Marine Corps logistics applications.
  • Build predictive models for readiness forecasting and supply chain optimization.
  • Develop and maintain data pipelines and analytics platforms for logistics data.
  • Integrate AI/ML solutions into existing logistics systems and workflows.
  • Collaborate with stakeholders to define data management goals.
  • Conduct statistical analysis on complex datasets to identify actionable insights.
  • Support data governance frameworks including quality and security standards.

Benefits

  • Medical, Dental, and Vision coverage with significant company premium contribution.
  • HSA/FSA Medical Plans offered.
  • Paid Time Off (PTO) policy in place.
  • Flexible work environment promoting work/life balance.
  • 401K plan available with company match.
  • Recognizes and observes all federal holidays.
  • Tuition reimbursement and professional development opportunities offered.
Full Job Description
Position Overview: KSA Integration is seeking a Data Scientist / ML Engineer to support the Marine Corps Logistics Plans (LP) Division's data management, analytics, and artificial intelligence initiatives. This role directly supports Data Management & Analytics and AI Capability Development. You will design and deploy AI/ML solutions that transform how the Marine Corps manages logistics data, predicts readiness, and automates decision-making.

This Position is Contingent Upon Award

Anticipated Start Date: Summer 2026

Support Hours: Applicant shall be available during core work hours as established by the Government customer.

Benefits:
  • Medical, Dental, Vision (82% of employees' premiums paid by the company, 25% towards dependents)
  • HSA / FSA Medical Plans
  • PTO
  • Flexible Work Environment and Encourage Work/Life Balance
  • 401K with Company Match
  • Observes all federal holidays
  • Professional Development/Tuition Reimbursement Program
  • Annual Career Development Process

Job Type: Full-time/Exempt

Location: Pentagon / National Capital Region (Hybrid)

Clearance Required: Active Secret

Travel Requirement: Approximately 10%

Position Responsibilities:
  • Design, develop, and deploy machine learning models and AI solutions for Marine Corps logistics applications.
  • Build predictive models for readiness forecasting, supply chain optimization, and maintenance planning.
  • Develop and maintain data pipelines, dashboards, and analytics platforms for enterprise logistics data.
  • Integrate AI/ML solutions into existing Marine Corps logistics systems and workflows.
  • Collaborate with government stakeholders to define data management goals and analytics strategies.
  • Conduct statistical analysis on complex datasets to identify trends, patterns, and actionable insights.
  • Support data governance frameworks, including data quality, privacy, security, and accessibility standards.
  • Develop best practices documentation for ML systems and train government users on AI tools.
  • Work within secure DoW computing environments (NIPR/SIPR).


Requirements

  • 5+ years of experience in data science, machine learning, or AI engineering.
  • Proficiency in Python, R, or equivalent - hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks.
  • Experience building and deploying ML models in production environments.
  • Strong skills in data engineering: SQL, data pipelines, ETL processes, and cloud/on-prem data platforms.
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
  • Familiarity with DoW data environments, ADVANA, or military logistics data systems a strong plus.
  • Experience with the Torch.AI Nexus platform or UNACORN analytics environment a plus.
  • Understanding of responsible AI principles, model governance, and DoW AI ethics frameworks.
  • BA/BS in Computer Science, Data Science, Statistics, Mathematics, or related field required; MS preferred.

Preferred Skills/Experience:
  • Prior work experience supporting the Marine Corps programs.

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