OR Scientist

OR Scientist

Responsibilities

• Development and implementation of advanced optimization and multivariate statistics to operational business processes scope which includes Ports and Terminals, Logistics & warehousing, Transportation, Supply Planning, Demand Planning, Manufacturing, Sourcing and other functional areas across the Adani group of companies.
• Design and develop complex optimization and simulation models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.
• Apply mathematical optimization, including linear programming, combinatorial optimization, integer programming, network flows and algorithms to design optimal or near optimal solution methodologies.
• Experience designing and implementing optimization models for discrete/combinatorial optimization problems (e.g., vehicle routing, scheduling, ports and logistics, and facility location) and experience with leveraging such models to provide guidance for (long-term) strategic and (Short-term) tactical decision making.
• Involve in building the optimization roadmap for Adani Group and advance the business benefits by researching and developing innovative solutions with proven Operations Research, Industrial Engineering, and Statistical methodologies.
• Communicate technical outcomes to VP and C-level executives.

Qualifications

• A Ph.D., Master’s degree in Operations Research, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field and at least 2 – 5 years of work experience in applying advanced optimization/statistics techniques in engineering and manufacturing domain.
• Hands on experience in Operations Research/ Optimization LP, Integer programming, Mixed Integer Programming, Decomposition Algorithms, Simulated Annealing, Genetic Algorithm, Hybrid SA & GA, Tabu search, Discrete event Simulation, Ant colony optimization, Markov decision processes. 
• Experience with CPLEX, Gurobi, Data Visualization tools.
• Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms.
• Experience in collaborating for strategic Optimization/OR roadmaps to advance business capabilities
• Develop and operate solutions that optimize and automate business decisions using large data sets and algorithms
• Exceptional problem-solving skills. Passion for translating data into action and business insights, and keen to learn and develop new methods/technologies.
• Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization
• Proficient in one or more of the following programming languages: C++, Python, R.
• Ability to communicate technical information to a non-technical audience.