Job Description

We are seeking a Lead Data Scientist to assess how current models are built and applied, identify weaknesses, and recommend improvements based on sound mathematical and operations research principles.

Responsibilities

Identify flags such as formulation errors, infeasibilities, unboundedness, poor scaling, non-convexities, and inappropriate solver or method choices
Assess whether each problem is modeled with the right approach, whether linear, non-linear, or convex formulation
Determine the suitability of linear versus non-linear programming methods for a given problem
Suggest clear, actionable improvements to models, methods, and solution approaches
Document recommended changes and findings for stakeholders and technical teams

Requirements

5+ years of experience in optimization, operations research, or applied mathematics
In-depth knowledge of Convex Optimization, including