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Data Scientist / ML Engineer

KSA Integration

Job Description

Job Description

Description:

 

KSA Integration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides business and management solutions through three core capabilities: (1) data analytics, (2) comprehensive veterans support, and (3) business process improvement. We are a rapidly growing government contractor that has built a reputation on focused customer service, on-time performance, and continuous improvement. To demonstrate this, KSA has been awarded the Inc. Best Workplaces, a prestigious list of businesses recognized for value placed on company culture, standout worker benefits, and the prioritization of employee well-being every year from 2019 to 2025. KSA also earned recognition on the Best for Vets List by Military Times from 2019 to 2025 and garnered the Department of Labor “Hire Vets” Platinum Medallion Award from 2021 to 2025. 


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. 

KSA Integration is an equal opportunity employer.

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