Senior Data Scientist with Linear programming, Oil & Gas

EPAM Systems; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EPAM Systems seeks a Senior Data Scientist to evaluate and enhance optimization models, applying rigorous mathematical methods and operations research fundamentals.

You will identify weaknesses in model construction, choose appropriate formulations, and propose actionable improvements to modeling and solution strategies, documenting findings for stakeholders and technical teams.

English proficiency at B2+ is expected to communicate results effectively across teams.

Qualifications

• Minimum of 3 years in optimization, operations research, or applied mathematics
• Thorough understanding of Convex Optimization, including duality and optimality conditions
• Solid expertise in Linear Programming, simplex/interior-point methods, sensitivity analysis, and duality
• Strong grasp of Linear and Non-linear Programming, including theory, solution techniques, and constraints
• Nice to have experience in Oil & Gas sector

Responsibilities

• Detect issues like formulation errors, infeasibilities, unboundedness, poor scaling, non-convexities, and inappropriate solver/method selection
• Evaluate whether problems use the correct modeling approach (linear, non-linear, or convex)
• Assess whether LP or NLP methods are better suited to a given problem
• Propose clear and actionable enhancements to models, methods, and solution strategies
• Record findings and recommended changes for stakeholders and technical teams

Skills

Optimization

Operations Research

Convex Optimization

Linear Programming

Non-linear Programming

Job description

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