Posted:13 hours ago|
Platform:
On-site
Full Time
Education: Master's or Bachelor’s in Operations Research, Industrial Engineering, Applied Math, Statistics, Computer Science or related.
Experience: 2-4 years in analytics/OR/optimization
Key Responsibilities:
Collaborate with cross-functional teams to define business problems and translate them into quantitative models (e.g., optimization, simulation, forecasting).Extract, clean and analyse large datasets; identify key drivers, bottlenecks and opportunities for process improvement.Develop mathematical/OR models (e.g., linear programming, integer programming, simulation) to support decision-making (resource allocation, scheduling, supply-chain, manufacturing).Implement and validate model prototypes; run what-if or sensitivity analyses and present actionable recommendations to stakeholders.Monitor model performance, track outcomes, and iteratively refine models; document assumptions, methods and results for business users.Communicate complex analytical results in clear, non-technical language; create dashboards or visualisations to track key metrics and business impact.
Key Skills & Qualifications:
Solid programming/statistical skills in e.g., Python, R, MATLAB, or similar.Experience with optimisation solvers/tools (e.g., CPLEX, Gurobi, or open-source equivalents) and simulation packages.Strong SQL/database skills; experience working with large datasets and extracting insights.Good understanding of operations research techniques (e.g., linear/integer programming, simulation, queues, network flows).Ability to translate business questions into modelling frameworks and present results credibly to business and technical stakeholders.Comfortable working in a dynamic environment, collaborating across teams, and managing ambiguity.
Preferred:
Experience in manufacturing/operations/supply-chain domain is a plus.Prior exposure to dashboarding tools (e.g., PowerBI, Tableau) will be beneficial.Some exposure to “end-to-end” solution deployment (data through to insights) would be valued.
Job Type: Full-time
Pay: ₹2,000,000.00 - ₹2,500,000.00 per year
Expected Start Date: 01/12/2025
Bayshore Intelligence Solutions
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