Senior Data Scientist with Linear programming, Oil & Gas

We're looking for a Senior Data Scientist to evaluate existing model construction and implementation, pinpoint areas of weakness, and propose enhancements grounded in solid mathematical and operations research fundamentals. Responsibilities Detect issues like formulation errors, infeasibilities, unboundedness, poor scaling, non-convexities, and inappropriate solver or method selection Evaluate whether each problem uses the correct modeling approach, be it linear, non-linear, or convex formulation Assess whether linear or non-linear programming methods are better suited to a particular problem Propose clear and actionable enhancements to models, methods, and solution strategies Record findings and recommended changes for both stakeholders and technical teams Requirements Minimum of 3 years working in optimization, operations research, or applied mathematics Thorough understanding of Convex Optimization, covering convexity, duality, and optimality conditions Solid expertise in Linear Programming, covering formulation, simplex and interior-point methods, sensitivity analysis, and duality Strong grasp of Linear and Non-linear Programming, including their underlying theory, solution techniques, and constraints English language skills at B2 level or above Nice to have Experience within the Oil & Gas sector