Sr, Data Scientist - Operations Research

Insight Global; Boca Raton (FL); On-site; USD 110,000 - 150,000; Full time

Job summary

Insight Global is seeking a seasoned Operations Research/Optimization Engineer to translate business constraints into scalable LP/MILP/MINLP models and to design end-to-end decision systems.

You will build large-scale models, tune solvers (Gurobi preferred), develop data pipelines, deploy models in production, and collaborate with stakeholders to align solutions with real-world needs. Requirements include 3–6 years in OR/Optimization and strong Python/SQL skills.

Qualifications

• Bachelor's degree or higher in OR/IE/Applied Math or related field.
• Master's degree preferred.
• 3–6 years’ experience in Operations Research/Optimization.
• Experience with large-scale mathematical models in production.

Responsibilities

• Formulate decision problems as mathematical optimization models (LP, MILP, MINLP).
• Design and implement large-scale optimization models with thousands to millions of variables/constraints.
• Leverage solvers such as Gurobi to build high-performance solutions.
• Develop end-to-end decision systems, integrating optimization outputs into production workflows.
• Collaborate with stakeholders to define objectives and constraints.
• Evaluate solution quality via scenario testing and sensitivity analysis.

Skills

Gurobi

Python

SQL

LP/MILP/MINLP

Cloud computing

Stakeholder collaboration

Education

Bachelor's degree in OR/IE/Applied Math or related field

Master's degree in OR/IE/Applied Math or related field

Tools

CPLEX

OR-Tools

Job description

Job Description

• Formulate decision problems as mathematical optimization models (LP, MILP, MINLP), translating business constraints and objectives into structured frameworks
• Design and implement large-scale optimization models, solving complex problems involving thousands to millions of variables and constraints
• Leverage solvers such as Gurobi (preferred) or equivalent tools to build high-performance solutions, including model tuning and performance optimization
• Develop end-to-end decision systems, integrating optimization outputs into production workflows and business processes
• Collaborate with business stakeholders to define objective functions, constraints, and trade-offs, ensuring solutions align with real-world decision-making
• Evaluate solution quality through scenario testing, sensitivity analysis, and stress testing of optimization results
• Scale and productionize models, including API development, automation, monitoring, and retraining workflows
• Build and maintain data pipelines to support optimization models, ensuring data quality, availability, and performance at scale
• Communicate model structure, assumptions, and results clearly to leadership, translating complex math into actionable business insights

Skills and Requirements

• Bachelor's Degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field or equivalent years of experience
• Master's Degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field or equivalent years of experience
• 3-6 years’ experience in Operations Research / Optimization or related fields preferred
• Hands-on experience with Gurobi (strongly preferred) or similar solvers (CPLEX, OR-Tools, etc.)
• Proven experience building and deploying large-scale mathematical models (LP, MILP, etc.) in production environments
• Ability to design and maintain data pipelines for large-scale modeling workflows and experience working with large, complex datasets, including feature engineering and data validation
• Proficiency in Python and SQL, with emphasis on scalable, maintainable code
• Familiarity with cloud environments (AWS, Azure, GCP) for scalable execution

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].