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Operation Research Scientist
2 months ago
To build Optimization/Operations Research models and algorithms that will use deep statistical & mathematical capabilities to enable inform decision making for the highest priority business questions across the business functions at Adani Group of companies and will be part of the corporate technology function.
Job Description :
- 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 and Experience:
- 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.
