Job
Description
Role Overview: As an Operations Research Analyst with 13 years of experience, you will be a valuable addition to our product and engineering team. Your primary responsibility will be to leverage your expertise in Operations Research to enhance our ERP systems by designing and applying optimization techniques, simulation, forecasting, and decision models. By translating complex business processes into intelligent ERP workflows, you will play a crucial role in ensuring optimization, forecasting, and efficiency are integrated into our product architecture. Key Responsibilities: - Design and apply Operations Research techniques such as linear/integer programming, simulation, forecasting, and decision models within ERP modules. - Apply optimization techniques like linear/integer programming, stochastic modeling, forecasting, and simulation to improve ERP capabilities. - Implement optimization logic directly into our in-memory platform to provide real-time decision support. - Develop scalable code for scheduling, planning, forecasting, and anomaly detection. - Collaborate with product managers and engineers to build optimization engines that enhance efficiency and reduce costs for clients. - Create what-if scenarios, predictive dashboards, and simulation-based insights to embed intelligence into ERP workflows. - Serve as a bridge between business logic and technical implementation, ensuring solutions are both mathematically robust and business relevant. - Support ongoing research into next-gen ERP capabilities, including AI/ML-enabled optimization, in-memory computing, and anomaly detection. Qualification Required: - Education: B.Tech / M.Tech from IITs (or equivalent premier institutes) with coursework in Operations Research, Industrial Engineering, or Quantitative Techniques. - Experience: 13 years in a software product company, IT consulting, or analytics environment. - Strong foundation in optimization, simulation, forecasting, and data-driven decision-making. - Familiarity with SQL, Python, R, or optimization tools (CPLEX, Gurobi, LINGO, or open-source solvers) is advantageous. - Ability to connect business processes with software workflows, simplifying complex problems for real-world impact. - Strong communication skills to explain technical models to non-technical stakeholders. Role Overview: As an Operations Research Analyst with 13 years of experience, you will be a valuable addition to our product and engineering team. Your primary responsibility will be to leverage your expertise in Operations Research to enhance our ERP systems by designing and applying optimization techniques, simulation, forecasting, and decision models. By translating complex business processes into intelligent ERP workflows, you will play a crucial role in ensuring optimization, forecasting, and efficiency are integrated into our product architecture. Key Responsibilities: - Design and apply Operations Research techniques such as linear/integer programming, simulation, forecasting, and decision models within ERP modules. - Apply optimization techniques like linear/integer programming, stochastic modeling, forecasting, and simulation to improve ERP capabilities. - Implement optimization logic directly into our in-memory platform to provide real-time decision support. - Develop scalable code for scheduling, planning, forecasting, and anomaly detection. - Collaborate with product managers and engineers to build optimization engines that enhance efficiency and reduce costs for clients. - Create what-if scenarios, predictive dashboards, and simulation-based insights to embed intelligence into ERP workflows. - Serve as a bridge between business logic and technical implementation, ensuring solutions are both mathematically robust and business relevant. - Support ongoing research into next-gen ERP capabilities, including AI/ML-enabled optimization, in-memory computing, and anomaly detection. Qualification Required: - Education: B.Tech / M.Tech from IITs (or equivalent premier institutes) with coursework in Operations Research, Industrial Engineering, or Quantitative Techniques. - Experience: 13 years in a software product company, IT consulting, or analytics environment. - Strong foundation in optimization, simulation, forecasting, and data-driven decision-making. - Familiarity with SQL, Python, R, or optimization tools (CPLEX, Gurobi, LINGO, or open-source solvers) is advantageous. - Ability to connect business processes with software workflows, simplifying complex problems for real-world impact. - Strong communication skills to explain technical models to non-technical stakeholders.
