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SMX

Operations Research / Systems Analyst (ORSA) - Optimization & Mathematical Programming

SMX · Hanover, MD

Posted about 3 months ago · Previously reposted

or apply directly on SMX's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
SMX's roles stay open a median of 66 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
0% of SMX's roles list one
Ghost-job risk at SMX
high
108 stale, 19 reposted of 119 open
Hiring momentum
210 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from SMX's own greenhouse board since 2026-08-03. Full hiring picture for SMX.

About this role

The Operations Research Analyst focuses on advanced optimization and mathematical programming to enhance resource allocation and decision-making within a Federal Agency. Responsibilities include formulating complex mathematical models, developing optimization algorithms, conducting cost-benefit analyses, and creating decision support tools. The role requires collaboration with various specialists to translate technical results into actionable insights for leadership.

Our read on this posting2.4out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SMX as an employer.

What you need

  • 8+ years of progressive, hands-on operations research experience
  • 3–5 years of experience supporting DoD or Intelligence Community mission areas
  • Expert-level proficiency in mathematical optimization
  • Hands-on experience with optimization solvers like Gurobi or CPLEX
  • Proficiency in an analytical programming language (Python or R)
  • Experience with constraint programming and heuristic solution methods

Nice to have

  • Advanced degree in Operations Research or related field
  • Familiarity with NISP and clearance adjudication processes
  • Experience with nonlinear and stochastic optimization techniques
  • Knowledge of multi-objective optimization and Pareto analysis
  • Experience with scheduling and routing problems

What you get

  • Health insurance
  • Paid leave
  • Retirement

Worth weighing

  • Salary range provided is $123,000 — $206,000 USD
  • No specific mention of remote work or flexibility
  • Position requires work in secure government environments
  • No sponsorship for employment authorization or immigration support

Summarised from SMX's posting. Read the full original.

Listed by SMX on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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