Operations Research Scientist
A premier enterprise client seeks a skilled Operations Research Scientist to engineer high-impact mathematical optimization, machine learning, and decision-support systems. This role targets operational resilience, network efficiency, and cost mitigation across complex freight transit and logistics networks.
Responsibilities:
Build predictive, tactical, and real-time disruption mitigation and network recovery models.
Create and deploy scalable optimization, simulation, and ML algorithms using Python, Java, or C++.
Maintain and enhance enterprise analytical platforms in production environments.
Partner with cross-functional leadership and engineering teams to translate large datasets into automated operational workflows.
Lead initiatives that strengthen network reliability and recovery workflows.
Location & Schedule:
12-Month Contract | Midtown Atlanta (Hybrid: 2 days onsite/week; ~1 week travel/year).
Modern facility with covered parking, fitness center, cafeteria, and top-tier amenities.
Qualifications:
Master’s or Ph.D. in Operations Research, Industrial Engineering, Applied Math, Data Science, or related quantitative field.
3–5 years deploying decision-support architectures and mathematical models.
Deep proficiency in LP, MIP, NLP, or stochastic modeling using solvers such as Gurobi or CPLEX.
Advanced Python capability plus Java or C++; solid SQL and database foundation.
Background in reinforcement learning, predictive AI, or discrete-event simulation.
Knowledge of transit routing, scheduling, asset allocation, or freight network planning preferred.
Must be authorized to work in the US (no sponsorship available).
Benefits: Delivered through Visionaire Partners: Full-time W2 contractors receive 401(k) with up to 4% match, medical, dental, vision, life, STD/LTD, critical illness, hospital indemnity, accident insurance, plus Medical and Dependent Care FSAs for contractors, spouses/partners, and dependents.
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