Supply Chain Planning Solver Scientist

Profile

The Electronics & Industrial (E&I;) Continuous Improvement Team is seeking a Planning Solver Scientist who will be responsible for optimizing the performance and flexibility of the business’s OMP-based mathematical solvers. These include (1) mathematical programming solvers (linear and mixed-integer), and (2) discrete search solvers (primarily used for production schedule sequence optimization). The Solver Scientist will have a detailed understanding of the mathematics, logic and optimization strategies used in the businesses’ planning solvers as well as the master data and cost penalty structures used. The Scientist will also have an in-depth knowledge of the business supply chain product flows and objectives. The Scientist will advise business planning personnel on how best to use and refine OMP solver output to optimize supply chain planning and performance and optimize financial performance.

This position reports to a Continuous Improvement Team Leader and will be responsible for jointly developing, deploying, training, and monitoring best practices within this focus area. The successful candidate will provide the required process leadership and oversight to effectively execute the E&I; Supply Chain Strategy in support of global business objectives.

Responsibilities include, but are not limited to:


Becoming proficient with the optimizing solver aspects of the OMP tool to perform the following types of tasks in OMP:
Running solvers and interpreting output
Varying solver parameters to explore supply chain options to address constraints and other business scenarios
Working with SMEs and business team members to interpret solver output and incorporate into monthly Supply Management processes
Providing internal E&I; support for ongoing analysis and model tuning/updates
Analyzing patterns in data; building models, designing experiments, and testing hypotheses
Understanding and refining cost penalty data to ensure solver models can be adjusted appropriately to explore the full range of business constraints and scenarios
Working closely with business stakeholders, which are made up of cross-functional teams across organizational boundaries (Demand, Supply, Operations, Logistics, Engineering, Finance)
Being a trusted advisor to the Supply Chain Managers, Master Planners, and other business leaders
Driving business results by communicating complex quantitative analysis in a clear, precise, and actionable manner
Mentoring Planners and Schedulers with the goal of improving their understanding and use of OMP solvers
Monitoring the performance of the supply processes to continually improve execution and financial performance


Qualifications


MS/BS in statistics, math, or engineering
5 or more years’ experience in mathematical modeling
Supply chain experience in the chemical process industry
Strong business acumen with the ability to translate business questions and problems into data models
Excellent communication with the ability to explain technical approaches and rationale of findings in easy-to-understand terms for the business
Strong leadership and collaboration skills
Global teamwork experience (leadership role or significant interface as part of teams, leading teams, working cross-cultures) preferred
English language fluency


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