Lead Optimization Scientist - Operations Research

Dexian; Florida; On-site; USD 140,000 - 190,000; Full time

Job summary

Dexian is seeking a senior-level data scientist specializing in operations research to lead optimization and decision science initiatives. You will translate business challenges into formal optimization models and deliver production-ready solutions across pricing, inventory, supply chain, and marketing.

Responsibilities include framing problems as LP/MILP/MINLP, scaling models, and building data pipelines for production use, with heavy collaboration across stakeholders and leadership for impact.

Qualifications

• Bachelor's degree in operations research, industrial engineering, applied mathematics, computer science, or related field or equivalent experience.
• Master's degree in relevant fields or equivalent professional experience.
• 3-6 years of experience in operations research, optimization, or related areas.
• Hands-on experience with Gurobi or similar solvers such as CPLEX or OR-Tools.
• Proven ability to build and deploy large-scale mathematical models (LP, MILP, etc.) in production environments.
• Experience designing and maintaining data pipelines for large modeling workflows.
• Proficiency in Python and SQL, emphasizing scalable and maintainable code.
• Familiarity with cloud platforms (AWS, Azure, GCP) for scalable execution.

Responsibilities

• Formulate decision-making problems into mathematical optimization models (LP, MILP, MINLP).
• Design and implement large-scale optimization solutions with thousands to millions of variables.
• Utilize solvers such as Gurobi to develop high-performance models and tune performance.
• Develop decision systems that integrate optimization outputs into workflows.
• Define objectives, constraints, and trade-offs with stakeholders.

Skills

Python

SQL

data pipelines

Education

Bachelor's degree in related field

Master's degree in relevant field

Tools

Gurobi

CPLEX

OR-Tools

Job description

Dexian is seeking a senior-level data scientist specializing in operations research to lead optimization and decision science initiatives. You will translate business challenges into formal optimization models and deliver production-ready solutions across pricing, inventory, supply chain, and marketing.

Responsibilities include framing problems as LP/MILP/MINLP, scaling models, and building data pipelines for production use, with heavy collaboration across stakeholders and leadership for impact.