Senior Operations Research; OR Scientist – Mathematical Optimization; MIP

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

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:

• Works on the mathematical optimization model at the heart of a task assignment model adhering to some complex work rules
• Formulate and maintain the MIP
• Translate real business rules into formulation with planners
• Drive the model through the FICO Xpress Java API, generate/inspect.lp files and solver logs.
• Tune the solver; mip-gap, mip-abs-gap, threads, random seed, determinism; reason about branch-and-bound performance and runtime.
• Keep the model solver-agnostic behind the Linear Expression / Linear Constraint / Sense / Sign abstraction so it stays testable and portable.
• Validate & benchmark solutions
• Analyze data stored in Azure ADLS to debug the model and find issues; mine input/output datasets and solver logs to surface data-quality and in feasibility problems, derive insights, diagnose root causes, and resolve modeling bugs (e.g., bad defaults, constraint conflicts).
• Build and maintain the Streamlit dashboard (Python) that visualizes optimizer solutions - code and ship changes directly.
• Work fluently with AI coding agents (Claude / Copilot / similar) to prototype and change models, scripts, and the dashboard fast without lowering the bar on correctness or code quality.
• Partner closely as a team player with the Java engineer to product ionize the model and with planners/SMEs to capture and verify rules; document assumptions and limitations.

Requirements:

• Mixed-Integer Programming (MIP) modeling; formulating real-world business rules as decision variables, linear constraints, and objectives; LP/IP theory; branch-and-bound intuition.
• Commercial solver experience; FICO Xpress (strongly preferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solver tuning (gaps, threads, seeds, determinism) and reading solver logs /.lp files.
• Programming to implement model & visualize model solutions;
  Java (the model lives in Java behind a solver abstraction);
  Python (incl. Streamlit for the dashboard); able to code and ship changes in both programming languages.
• Comfortable using AI coding agents (Claude / Copilot) for fast changes; high coding standards; a collaborative team player (open to ideas/feedback, no solo work); a fast learner.
• (
  
  Education:
  
  MS/PhD in OR / IE / Applied Math / CS-optimization or equivalent.)

Why Should You Apply?

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