Note: The job is a remote job and is open to candidates in USA. D&G Solutions is seeking a Logistics Operations Research / Systems Analyst to support Federal Government clients with data-driven analysis of complex logistics and sustainment challenges. The role develops quantitative models, evaluates operational alternatives, leads analytical projects, and delivers decision-ready recommendations that improve mission readiness, resource utilization, and logistics performance.
Responsibilities
- Serve as the project lead and Chief Engineer for assigned efforts
- Translate mission objectives and logistics challenges into clear analytical problems, measures of effectiveness, assumptions, constraints, and decision criteria
- Develop and execute optimization, simulation, forecasting, statistical, and analytical models supporting transportation, distribution, inventory, capacity, routing, scheduling, maintenance, and resource allocation decisions
- Evaluate alternative courses of action, logistics concepts, force structures, network designs, and operational strategies using mission-focused performance measures
- Conduct trade studies, cost-benefit analyses, return-on-investment (ROI) assessments, and capability gap analyses
- Perform sensitivity analyses, scenario modeling, parametric studies, and stress testing to identify bottlenecks, vulnerabilities, operational risks, and tipping points across contested and degraded environments
- Analyze logistics networks supporting steady-state, surge, contingency, and contested operations
- Collaborate with data engineers, systems engineers, analysts, and subject matter experts to validate assumptions, prepare data, calibrate models, and ensure analytical accuracy
- Translate quantitative findings into executive-level briefings, visualizations, reports, and actionable recommendations
- Present analytical findings and decision support products to senior government leaders and stakeholders
- Support strategic planning, logistics modernization, capability development, and mission engineering initiatives
- Lead project execution, coordinate technical activities, manage priorities, and ensure quality delivery of project objectives
Skills
- Master's degree in Operations Research, Engineering, Mathematics, Systems Engineering, Data Science, or a closely related quantitative discipline
- 15 or more years of experience in operations research, logistics analysis, supply chain analytics, mission engineering, modeling and simulation, or related analytical disciplines
- Strong understanding of logistics operations, including transportation, distribution, inventory management, maintenance, capacity planning, routing, scheduling, and resource allocation
- Experience developing optimization models, simulation models, statistical analyses, forecasting methodologies, or other quantitative decision-support tools
- Ability to formulate operational problems into objective functions, assumptions, constraints, decision variables, and measures of effectiveness
- Experience conducting trade-space analyses, capability assessments, sensitivity analyses, and operational risk evaluations
- Ability to identify network bottlenecks, vulnerabilities, trade-offs, and operational tipping points
- Experience translating complex analytical findings into operational recommendations and executive decision support products
- Experience collaborating with logisticians, systems engineers, data engineers, acquisition professionals, and senior government stakeholders
- Strong written, verbal, presentation, and data visualization skills
- Ability to obtain and maintain a security clearance
- This role is restricted to U.S. person(s) (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3))
- Remote with travel to client sites as required by mission needs
- Experience leading multidisciplinary technical teams or serving as Chief Engineer on complex analytical projects
- Experience modeling contested logistics, deployment and distribution operations, mobility, maintenance, supply support, or operational energy networks
- Experience analyzing manned and unmanned cargo systems, multimodal distribution concepts, or emerging logistics technologies
- Experience with Human-Centered Design principles and advanced data visualization techniques
- Experience supporting the Department of Defense, Combatant Commands, Defense Logistics Agency, U.S. Transportation Command, or other Federal agencies
- Experience with optimization software, modeling and simulation tools, Python, R, MATLAB, AnyLogic, Arena, Simio, or similar analytical platforms
Benefits
- Remote work with travel to client sites as required by mission needs
- Comprehensive benefits
- 401(k)
- Bonus and profit sharing
- Flexible hours
- Education reimbursement
- Generous paid time off
Company Overview