Assist in formulating and solving optimization problems using Linear Programming (LP), Integer Programming (IP), or Mixed-Integer Programming (MIP).
Collect, clean, and analyze operational and logistics data.
Conduct simulations using tools like Excel, Python, or Arena to evaluate different operational scenarios.
Support in designing and testing decision support systems for supply chain, inventory, scheduling, and production planning.
Perform statistical and quantitative analysis to support decision-making processes.
Create visualizations and reports to communicate insights and recommendations.
Collaborate with cross-functional teams to understand business requirements and deliver actionable solutions.
Job Type: Full-time
Pay: ?5,000.00 - ?20,000.00 per month
Benefits:
Cell phone reimbursement
Schedule:
Day shift
Supplemental Pay:
Performance bonus
Application Question(s):
Can you elaborate on your interest and experience in Operations Research and Lean Six Sigma methodologies?
Education:
Master's (Required)
Willingness to travel:
25% (Required)
Work Location: Remote
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