Senior Manager/Operations Research Scientist

As a candidate for the position, you should hold a Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science, or a related field with publications in refereed academic journals. Additionally, you should have at least 5 to 15 years of experience in solving complicated optimization and machine learning problems for transportation networks or related disciplines, developing a strategy for large-scale networks. Key Responsibilities: - Design and implement transportation optimization models focusing on volume and route planning, re-planning, labor, and facilities planning. - Utilize excellent communication skills, both written and oral, to effectively interact with technical and business individuals at an appropriate level. - Apply expertise in smooth and non-smooth optimization methods, utilizing tools such as CPLEX, Gurobi, and XPRESS. - Implement exact, approximation algorithms, and heuristic methods for solving challenging optimization problems like vehicle routing and network design problems. - Develop models and tools using high-level modeling languages such as AMPL, Mosel, R, and Matlab. - Prototype and develop software in traditional programming languages like C++, Java, Clojure, Python. - Demonstrate familiarity with SQL and experience with very large-scale data, with the ability to manipulate data using scripts like Perl, Ruby, and Groovy. - Utilize statistical analysis, machine learning, and data-modeling in a database environment to enhance your skills. - Exhibit excellent judgment, relentlessly high standards, and the ability to inspire passion in others. Qualifications Required: - Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science, or a related field. - 5 to 15 years of experience in solving optimization and machine learning problems for transportation networks. - Strong communication skills for technical and business interactions. - Knowledge of optimization methods, tools, and programming languages. - Familiarity with SQL and experience in handling large-scale data. - Ability to inspire passion and exhibit excellent judgment. (Note: The job description did not include any additional details about the company.),