QT-SNB-10-383
Operations Research Engineer
Role Summary
Seeking an experienced/senior Operations Research Engineer to support the productionization, sustainment, and continuous improvement of deployed optimization solutions. The role will focus on maintaining model performance, resolving production issues, implementing enhancements, and ensuring long-term business value from OR products.
Required Skills
Strong expertise in Operations Research, Mathematical Optimization, and Decision Analytics, e.g.:
Linear Programming (LP)
Mixed Integer Programming (MIP)
Constraint Programming (CP)
Scheduling and Resource Allocation
Network Optimization
Heuristic and Metaheuristic Algorithms
Strong proficiency in PySpark, particularly for large-scale data processing and transformation.
Hands-on experience developing and supporting optimization models using Google OR-Tools, Gurobi, etc.
Advanced Python programming skills for optimization model development, integration, and support.
Experience troubleshooting and improving production-deployed optimization solutions, including model infeasibility, solver performance issues, and data quality challenges.
Experience with GitHub and software engineering best practices for model lifecycle management.
Ability to translate business requirements into optimization model enhancements and operational improvements.
Preferred Skills
Experience with Databricks or other cloud-based analytics platforms.
Familiarity with logistics, scheduling, or asset optimization applications.
Experience developing dashboards and decision-support tools for business users.
Seniority
Senior-level Operations Research Engineer capable of independently supporting business-critical optimization solutions, troubleshooting complex model and data issues, and collaborating effectively with business, data engineering, and software development teams.
