Lead Data Scientist with Linear programming, Oil & Gas
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 convexity, duality, and optimality conditions
- Strong command of Linear Programming, including formulation, the simplex and interior-point methods, sensitivity analysis, and duality
- Very good understanding of Linear and Non-linear Programming, including their theory, solution methods, and limitations
- English proficiency at B2 level or higher
Nice to have
- Background in Oil & Gas domain
