Optimization Engineer

Company Overview

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Job Summary

The Optimization Engineer will be responsible for refactoring and enhancing existing optimization logic to improve speed, scalability, and modularity. This role focuses on modeling price-volume relationships, developing constrained optimization techniques, and integrating business rules for effective scenario-based optimization.

Responsibilities

• Refactor and enhance existing optimization logic for improved speed and scalability.
• Model price-volume relationships using elasticity inputs at the SKU (Stock Keeping Unit) and brand levels.
• Develop optimization logic employing constrained techniques, including linear and quadratic programming.
• Integrate business rules and constraints such as price bounds, SKU/brand-level caps, and TDP (Total Demand Potential) limits.
• Enable scenario-based optimization with user-defined goals, such as maximizing profit or volume.
• Support multi-brand optimization with no interdependencies between SKUs and brands.
• Collaborate with cross-functional teams to validate model behavior and outcomes.

Qualifications

• Bachelor's or Master's degree in a relevant field (e.g., Mathematics, Statistics, Operations Research, Engineering).
• Strong analytical and problem-solving skills.
• Proficiency in programming languages, such as Python or R.
• Experience with optimization libraries (e.g., Gurobi, CPLEX) for implementation of optimization techniques.
• Familiarity with business rules integration and constraints modeling.
• Ability to work collaboratively in cross-functional teams.

Preferred Skills

• Advanced knowledge of data analysis and statistical modeling.
• Experience in financial modeling and price optimization.
• Familiarity with Machine Learning techniques in optimization.

Experience

• 5 to 9 years of experience in optimization modeling, analytics, or related fields.

Environment

• Typical work setting details not provided; location and work type information are unspecified.

Salary

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Growth Opportunities

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Benefits

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