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Lead Data Scientist with Linear programming, Oil & Gas

EPAM Systems

Role overview

Qualifications

  • 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

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

Key facts

Hard skills

Other skills

  • Mathematics

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.
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Job description

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

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