Senior Operations Research & Optimization Scientist (DoD)

N2IA Technologies; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

N2IA Technologies seeks an experienced Operations Research / Systems Analyst (ORSA) to focus on optimization and mathematical programming for a Federal Agency. You will model resource allocation, scheduling, and prescriptive analytics to drive efficient operations.

Responsibilities include formulating optimization problems, implementing algorithms with Gurobi/CPLEX/Pyomo, and validating results with operational data.

Qualifications

• 8+ years of hands-on operations research experience.
• 3–5 years supporting DoD or IC mission areas.
• Proficiency in mathematical optimization (LP/IP/MIP).
• Experience with optimization solvers (Gurobi, CPLEX, Xpress, Pyomo, PuLP, OR-Tools).
• Ability to formulate real-world problems as mathematical programs.
• Proficiency in Python or R with optimization libraries.
• Experience with constraint programming and heuristic methods.
• Strong algorithm design and data-driven decision making.
• Experience in secure (classified) government environments.
• Active Secret clearance or ability to obtain.

Responsibilities

• Formulate real-world resource allocation problems as mathematical optimization models (LP/IP/MIP).
• Develop and implement optimization algorithms for complex assignment, scheduling, and allocation problems.
• Apply constraint programming and heuristic methods to large-scale problems.
• Create decision-support tools for leaders to compare tradeoffs with rigor.
• Collaborate with data engineers to obtain parameters and coefficients.
• Translate optimization results into actionable recommendations for stakeholders.
• Present approaches, trade-offs, and recommendations to senior leadership.

Job description

N2IA Technologies seeks an experienced Operations Research / Systems Analyst (ORSA) to focus on optimization and mathematical programming for a Federal Agency. You will model resource allocation, scheduling, and prescriptive analytics to drive efficient operations.

Responsibilities include formulating optimization problems, implementing algorithms with Gurobi/CPLEX/Pyomo, and validating results with operational data.