Operations Research AnalystAn
Operations Research Analyst wanted by Formosa Plastics Corporation, U.S.A. in Livingston, New Jersey.
Job duties:
- Apply mathematical modeling and statistical analysis to optimize petrochemical manufacturing performance under engineering and operational constraints.
- Analyze production, maintenance, and inventory system-level datasets from ERP systems such as AS400 to enhance operational reliability and cost performance.
- Establish predictive and reliable statistical modeling of rotating and stationary mechanical assets by evaluating maintenance records and operating conditions to enhance equipment lifecycle performance.
- Develop asset damage mechanisms and corrosion analysis to support risk-based inspection and mechanical integrity management.
- Develop predictive and forecasting models to support production scheduling, maintenance optimization, and supply chain coordination under volatile operational conditions.
- Conduct optimization modeling of process modifications, maintenance strategies, and capital investments using cost-benefit analysis to support data-driven decision-making.
- Design enterprise-level KPI statistical models to optimize production efficiency and operational risk across integrated manufacturing systems.
- Optimize enterprise Standard Operating Procedures (SOPs) by applying statistical process analysis and predictive modeling to improve mechanical integrity, regulatory compliance, and operational consistency.
- Conduct enterprise-level decision-making by validating predictive and optimization models, ensuring data integrity across maintenance and operations systems, and maintaining regulatory and business alignment.
- Collaborate with operations and engineering teams to integrate mechanical and process systems into quantitative frameworks for operational improvement.
Salary: $100,921.27 per year
Benefits: 401(k) & 401(k) matching, health insurance, dental insurance, vision insurance, paid time off.
Education, Experience, and Skill/Knowledge Requirements:
- Master's degree in Operations Research or Data Science
- Must have at least One (1) year of experience in quantitative data analysis and supply chain
- Must have knowledge of ERP, supply chain KPI, Python, data management, statistical inference, R, big data, SQL, Spark, Hadoop MapReduce, relational database, sampling techniques, Random Forest Models, Clustering, Anomaly Detection, K-means, machine learning, Logistic Regression, Neural Networks, Time Series, nonlinear optimization, Stochastic Programming, data mining, visualization, Power BI, Tableau
