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
