Data Science Optimization

Key Responsibilities: Optimization Simulation algorithms using a variety of tools to improve process efficiency across business functions Perform detailed analysis of business problems and technical environments in designing the solution Conversion (Formulation) of business problem into a mathematical model using LinearMixed Integer Programing technique Optimization Simulation algorithm: o Simplex o Interior Point o Cutting Plain o Dynamic Program o Linear Mixed Integer Program o Agent Based Simulation o Discrete Event Simulation o Column Generation Optimization Simulation: o Logistics Inventory planning o Job Scheduling o Stock Cutting o Network Optimization Build mathematical optimization models using tools, such as AIMMS, CPLEX, GLPK, to model business problems in support of decision - making Lead and manage Proof of Concepts and demonstrate the outcomes quickly Document use cases, solutions and recommendations Work analytically in a problem - solving environment Work in a fast - paced agile development environment Coordinate with different functional teams to implement models and monitor outcomes Work with stakeholders throughout the organization to identify opportunities for leveraging organization data and Optimization Simulation techniques to improve process efficiency across business functions - Operations, Products, Sales, Marketing, HR and Finance teams Help program and project managers in the design, planning and governance of implementing Optimization Simulation solutions Experience and Skills: Experience in Manufacturing, Aviation and Logistics 3+ year of work experience in optimization, simulation and data science Experience using AIMMS, CPLEX, GLPK, GUROBI etc. Experience in building Predictive models (Regression, Classification and Clustering) and Forecast models will be an added advantage Experience in Python and R will be an added advantage Education qualification: Bachelors Master degree in Operations Research, (Applied) Mathematics, (Applied) Statistics, Industrial Engineering or other disciplines with significant experience in mathematical optimization