Job Overview

Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way.

Roles & Responsibilities

• Person is accountable for identifying and providing optimization and simulation related analysis of the key Performance Indicators
• Building and managing smarter solutions including prescriptive and predictive models using existing tools for better managing business processes
• Person is self-starter, motivated and works with less supervision
• Good understanding of the Network Design / Inventory Optimization / Transport Optimization/ Production Planning etc.
• Accountable for providing detailed analysis of AS-IS vs. TO-BE scenarios. 
• Extraction of data from DBMS systems using SQL/other query languages to create, understand and clean datasets for Optimization preferably using Python
• Data cleaning and analysis in python using pandas and similar library etc.
• Experience with tools in the Supply Chain design/ Network/ Inventory / Planning (like LLamasoft, AIMMS etc.)
• Hands-on expertise in Solvers like Gurobi, CPLEX, PULP, Pyomo etc 
• Good understanding of Supply Chain Process and methods to optimize logistics costs, production cost and DC Capacity management.
• Work towards setting up models very close to reality by applying exceptions, constraints etc.
• Communicate with multiple teams to gather information and provide management level summary
• Liaison multiple departments like Warehouse, Supply Chain, Operations to ensure accurate data is used, flag master data concerns
• Simulation Models Lifecycle Management and Good Understanding of Simulation Model development preferably 
• Solve ad-hoc requirement of Management related to Simulations for critical decision making
• Provide clarifications, training, and support to the development teams.

Desired Expereince And Skills

• 4-6 Years’ experience in Operation Research/Network design related problems
• Python, Gurobi, MILP, QILP and LP problems
• Master’s degree (preferably in Operation Research) or bachelor’s degree with relevant experience 
• Experience in Model development for Supply Chain Planning using Gurobi, CPLEX or similar tool.
• Experience in Database Management Systems (DBMS), SQL queries and data wrangling
• Experience with best-in-class Supply Chain Planning and Optimization tools
• Hands on expertise in What-if Analysis and Multiple Scenario analysis
• Experience in handling large volumes of data, providing insights, spotting anomalies, identifying trends and complex relationships.
• Experience working with Supply Chain, Operations, Duty, Warehouse and Manufacturing datasets 
• Experience in driving project objectives thru Cross Functional Team setups 
• Prior experience in delivering project using Project Management Tool like DevOps
• Understanding of Cloud based tool like AWS, Azure etc.
• Automotive / Electronics Manufacturing / FMCG industry experience
• Experience in delivering project objectives in Project Management System (Waterfall/Agile)
• Knowledge of SAP MRP Module
• Good Understanding of Inventory Control, BOM Processing, Duty, Production etc.
• Strong skills in Stakeholder management
• Fluent in English both written and spoken; additional knowledge of another language (e. g. German) is an advantage.
• Always willing to experiment with new tools & technique to improve processes.

Competencies