Senior Manager / Operations Research Scientist - Machine Learning / Algorithm

Basic Qualifications

• Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals.
• At least 5 to 15 years of experience in solving complicated optimization and machine learning problems for transportation networks or analogous disciplines developing a strategy for large-scale networks.
• Experience designing and implementing transportation optimization models with focus on volume and route planning and re-planning; labor and facilities planning. Excellent communication skills, both written and oral with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.
• Excellent writing skills for presenting business cases and to document the models and analysis and present the results / conclusions in order to influence important decisions.
• A working knowledge of smooth and non-smooth optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).
• A working knowledge of exact, approximation algorithms, and heuristic methods for solving difficult optimization problems like vehicle routing and network design problems.
• The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab).
• Experience prototyping and developing software in traditional programming languages (C++, Java, Clojure, Python).
• Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy) a plus.
• Statistical analysis, machine learning and data-modeling in a database environment a plus
• Exhibits excellent judgment
• Has relentlessly high standards
• Thinks strategically, but stays on top of tactical execution
• Expects and requires innovation of her / his team
• Thinks big and has convictions
• Results oriented
• Has the innate ability to inspire passion in others

Preferred Qualifications

(ref : hirist.tech)