Senior/Lead Data Scientist

EPAM is looking for a Senior Data Scientist to evaluate existing optimization models, identify their weaknesses, and suggest improvements based on solid mathematical and operations research foundations.

What you will do

• Identify errors in model formulation, non-existence of solutions, unboundedness, and other issues;
• Assess whether the chosen modeling approach is correct: linear, nonlinear, or convex;
• Determine which method, linear or nonlinear programming, is more suitable for a specific task;
• Suggest specific improvements to models, methods, and solution strategies;
• Document conclusions and recommendations for both business and technical teams.

Who we are looking for

• At least 3 years of experience in optimization, operations research, or applied mathematics;
• In-depth knowledge of convex optimization: convexity, duality, optimality conditions;
• Strong knowledge of linear programming: formulation, simplex and interior point methods, sensitivity analysis;
• Good knowledge of linear and nonlinear programming theory and solution methods;
• English language proficiency at B2+ level.

Preferred: experience working in the oil and gas industry.

To view the full job description, please click the link: https://epa.ms/ge-vacancy-nov26-data-scientist

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EPAM is looking for a Lead Data Scientist to evaluate how existing optimization models are built and used, identify their weaknesses, and suggest improvements based on solid mathematical and operations research foundations.

What you will do

• Identify errors in model formulation, non-existence of solutions, unboundedness, and other issues
• Assess whether the chosen modeling approach is correct: linear, nonlinear, or convex
• Determine which method, linear or nonlinear programming, is more suitable for a specific task
• Suggest specific improvements to models, methods, and solution approaches
• Document conclusions and recommendations for both business and technical teams.

Who we are looking for

• 5+ years of experience in optimization, operations research, or applied mathematics
• In-depth knowledge of convex optimization: convexity, duality, optimality conditions
• Strong knowledge of linear programming: formulation, simplex and interior point methods, sensitivity analysis
• Very good knowledge of linear and nonlinear programming theory, solution methods, and constraints
• English language proficiency at B2+ level.

Preferred: experience working in the oil and gas industry.

To view the full job description, please click the link: https://epa.ms/ge-vacancy-nov26-data-scientist1