Job Description

preferred: Notice period below 1 month

Required Skills:

• MS or Ph.D. degree in operations research, mathematics, statistics, data sciences, engineering, or similar technical field with relevant course work in probability, statistics, and optimization

• Building frameworks for Optimization to capture constraints, objective functions etc. relevant to the business problem

• Design and development of various decision support models utilizing optimization techniques (LP, MIP, Dynamic Programming, Meta-heuristics) and predictive analytics ( Reinforcement learning)

Desired Skills and Experience

• Experience in mathematical programming, including non-linear/ mixed-integer programming (using one of the software: Xpress-Mosel, CPLEX, Gurobi, SAS OR, MATLAB or other solvers (such as AMPL, OPL, GLPK))

• Ability to think through and build frameworks (constraints, objective, etc.) for optimization of business problems is a must

• Good programming skills in Java, C/ C++, R, Python, XML or SQL are desirable

• Exposure to statistical techniques like linear/logistic, multinomial logistic, decision trees, gradient boosting, time series

• Experience with configuring and deploying optimization solutions on GCP is a plus

• Prior experience with vehicle routing optimization problems is a plus