Senior Operations Research (OR) Scientist – Mathematical Optimization (MIP)

Analyze data stored in AzureADLStodebug themodeland findissues;mine input/outputdatasets andsolver logs to surfacedata-qualityandinfeasibility problems, derive insights, diagnoserootcauses,and resolve modeling bugs (e.g., bad defaults,constraint conflicts). Commercial solverexperience; FICO Xpress (stronglypreferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solvertuning (gaps, threads, seeds, determinism) andreading solver logs/.lp files.

Our Client, an IT Services and Consultant company, is looking for a Senior Operations Research (OR) Scientist – Mathematical Optimization (MIP) for their Dallas, TX location.
 
Responsibilities:

• Workson the mathematical optimization model attheheart of a task assignment model adhering to some complex work rules
• Formulate and maintaintheMIP
• Translatereal businessrules into formulation with planners
• Drive themodelthrough the FICO Xpress Java API,generate/inspect .lp files and solverlogs.
• Tunethe solver; mip-gap, mip-abs-gap, threads,randomseed, determinism;reasonabout branch-and-bound performanceand runtime.
• Keepthemodel solver-agnostic behindthe LinearExpression / LinearConstraint / Sense /Sign abstraction soit staystestable and portable.
• Validate & benchmark solutions
• Analyze data stored in AzureADLStodebug themodeland findissues;mine input/outputdatasets andsolver logs to surfacedata-qualityandinfeasibility problems, derive insights, diagnoserootcauses,and resolve modeling bugs (e.g., bad defaults,constraint conflicts).
• Build and maintainthe Streamlit dashboard(Python) that visualizesoptimizer solutions - code and ship changesdirectly.
• Work fluently with AI coding agents(Claude/ Copilot /similar) to prototype and changemodels, scripts,and thedashboard fast without lowering the bar oncorrectness orcode quality.
• Partner closely as a teamplayer with the Javaengineer to productionize themodeland with planners/SMEs to capture andverify rules; documentassumptionsandlimitations.

 
Requirements:

• Mixed-Integer Programming (MIP)modeling; formulatingreal-world businessrules asdecision variables, linearconstraints, andobjectives; LP/IP theory; branch-and-bound intuition.
• Commercial solverexperience; FICO Xpress (stronglypreferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solvertuning (gaps, threads, seeds, determinism) andreading solver logs/.lp files.
• Programming to implement model & visualizemodel solutions; Java (themodellives inJava behind a solverabstraction); Python (incl. Streamlit for thedashboard); ableto code and ship changes in both programming languages.
• Also required:
• Comfortableusing AI coding agents(Claude/Copilot) for fastchanges; high codingstandards; a collaborative teamplayer (open toideas/feedback, no solo work);a fastlearner.
• (Education:MS/PhD in OR /IE /Applied Math /CS-optimizationor equivalent.)
• Nice to Have Skills and Experience (preferred but not required):
• Java21 / SpringBoot familiarity; clean/hexagonal model design (ports & adapters); TDD (JUnit5) foroptimizationmodels(LP-file integration tests); scheduling/assignment/routing problem experience; heuristics/metaheuristics/CP as complements toMIP; dataanalysis & debugging;mining datasets (incl. AzureADLS) andsolver logs to findissues and derive insights;data wrangling (CSV/Excel/SQL); Git/GitHub, MongoDB Compass, Maven,Docker; aviation / MRO domain.

 
Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities