Optimization/Operations Research Scientist; LP, MILP, Gurobi, ML
Job in
Saint Francis, Clay County, Arkansas, 72464, USA
Listed on 2026-06-19
Listing for:
Cognizant
Full Time
position Listed on 2026-06-19
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
Location: Saint Francis
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
SummaryFormulate and solve large-scale optimization problems, build predict-then-optimize workflows, and deploy solvers into production decision services.
Duties- Formulate large-scale optimization models (LP/MILP, mixed integer, network, scheduling) from business requirements.
- Implement and tune solvers (Gurobi/CPLEX/OR-Tools); apply decomposition, heuristics, and meta heuristics for scale.
- Build predict-then-optimize workflows integrating ML predictions with optimization.
- Validate, benchmark, and stress-test solutions for accuracy, feasibility, and performance.
- Deploy solvers into production decision services with engineering partners; monitor and maintain.
- Translate Real Estate & Manufacturing constraints into solver-ready formulations with stakeholders.
- INFORMS Certified Analytics Professional (CAP) (preferred)
- Gurobi / solver training certification (preferred)
- Google Cloud Professional Machine Learning Engineer or Azure Data Scientist Associate (DP-100) for ML/deployment
$100,000 to $130,000 + COLA and this position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
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