LMI

Senior Operations Research Supply Chain Developer

Job Locations US-VA-Tysons
Posted Date 22 hours ago(6/17/2026 10:49 AM)
Job ID
2026-14172
# of Openings
1

Overview

The Operations Research Supply Chain Analyst will support Department of Defense supply chain, logistics, and sustainment initiatives by conducting data analysis, modeling, simulation, and operational research to drive informed decision-making. The analyst will perform data ETL, develop demand forecasts, assess inventory requirements, and identify top degraders through what-if simulation experiments.

This role requires strong analytical and quantitative skills, the ability to work collaboratively with senior and mid-level developers and subject matter experts, and the capacity to present findings clearly to senior DoD leaders and stakeholders.

Position is Remote with occasional travel to client site (~5%).

Responsibilities

  • Help to identify, understand, and curate necessary data to support supply chain and logistics initiatives.
  • Perform data analysis and what-if simulation experiments to identify demand forecasts, inventory level requirements, top degraders, and other key supply chain metrics.
  • Develop supply chain assessments, studies, and analytical reports to inform DoD decision-making.
  • Present analysis and findings to government, industry, and internal stakeholders.
  • Work with a team of senior and mid-level developers and subject matter experts to answer project requirements and needs.
  • Coordinate with government, industry, and internal stakeholders to gather information, validate findings, and support recommended courses of action.

Qualifications

Required Qualifications

  • Bachelor's degree in a technical field such as math, physics, operations research, engineering, data analytics, or another relevant technical domain.
  • 3+ years of experience in supply chain and inventory management, industrial base analysis, technology assessments, logistics, acquisition support, intelligence analysis, or a related field.
  • 5+ years of experience using analytic tools such as Python, SQL, and Tableau to perform data exploration and analysis.
  • Strong quantitative, analytical, and research skills.
  • Demonstrated ability to use Microsoft Office Suite, including Word, PowerPoint, and Excel.
  • Ability to synthesize complex information into clear findings, risk statements, and actionable recommendations.
  • Superior oral and written communication skills, including the ability to prepare executive-level briefings and reports.
  • High energy, enthusiasm, tact, and ability to effectively interact with senior executives from government and industry.
  • Ability to create and foster a cooperative work environment.
  • Self-directed and detail-oriented, with the ability to complete assigned tasks, adapt to changing work efforts, and manage shifting priorities.
  • Availability for occasional travel (5%).
  • S. citizenship required.

Preferred Qualifications

  • Experience developing in C++.
  • Frontend application development using tools such as React and JavaScript.
  • Experience using Modeling and Simulation tools to run what-if scenarios and develop Courses of Action based on simulation output.
  • Experience with Predictive Maintenance for DoW clients.

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed


LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Need help finding the right job?

We can recommend jobs specifically for you! Click here to get started.