Indorama Ventures is emerging as one of the world’s leading petrochemical companies. A core value of IVL is “Our people make the difference”. We believe people provide the competitive advantage, so we respect every voice and rely on one another to grow. With a presence in 31 countries, 98 manufacturing facilities, 16,000 employees and $12B in sales to over 100 countries, Indorama is an exciting worldwide company. The company has an impressive growth trend doubling in size in 5 years.

Job Responsibilities:

We are seeking a candidate with experience optimizing supply chains and production schedules with advanced analytics and optimization software tools. This position will work with interdisciplinary commercial and manufacturing teams to explore and develop new solutions for the North American business. In this role you will hone your skills in one or more manufacturing and supply logistics planning and scheduling optimization technologies. You will work to apply optimization and simulation utilizing cutting edge commercial and proprietary modeling approaches and develop next generation solution techniques focused on value generation.

We are building a team of scientist and engineers to transform current operations to the digital operations of the future, and this role is central to bringing this vision to reality. This is a great opportunity to become a leader in creating and promoting advanced analytics and data science capabilities across our entire worldwide organization. If you are looking for a role in an exciting and growing company, with tremendous creative freedom and growth potential, consider joining Indorama to help us build a world-class data analytics team, and promote a data smart and analytics aware culture across the organization

Primary Job Description:

• Develop, deploy, and commission offline optimization applications.
• Provide specialist application consulting and technical support to affiliates worldwide for new and deployed applications, including model troubleshooting and assistance with model convergence, model and economic information updates, and interpreting optimization solutions to stakeholders.
• Provide technical leadership through work process reviews and best practice implementations.
• Closely work with manufacturing sites, process engineering, business stakeholders & business support functions to identify new opportunities, define the scope, cost, benefits and project schedule for new as well as revamped applications.
• Position could require 10-30% travel (domestic and/or international).
• This position is flexible with a hybrid schedule.

Job Requirements:

• Bachelor’s degree in Industrial Engineering, Mathematics, Operations Research, or equivalent professional work experience in these fields
• Previous experience in a role(s) with a focus on financial analysis, accounting, strategy and/or economic modeling
• Excel and Database experience: VBA, SQL, simulation and optimization techniques, query building, macros, advanced functions, etc.
• Working knowledge of MS Office (Excel, Word, PowerPoint, Access, Outlook

Preferred Knowledge/Skills/Abilities:

• Master’s degree in Industrial Engineering, Mathematics, or Operations Research
• Direct experience in a manufacturing plant environment
• Minimum of 1-year industrial experience in planning and/or scheduling optimization preferred.
• Strong verbal and written communications: able to explain sophisticated data science concepts in an understandable manner, and distill complex results or processes into simple, clear visualizations
• Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence.
• Understanding of key economic decisions in supply chain is a plus.

Job Type: Full-time

Pay: Up to $100,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Tuition reimbursement
• Vision insurance

Experience level:

• 1 year

Schedule:

• 8 hour shift

Work setting:

• In-person
• Manufacturing facility

Ability to commute/relocate:

• Spartanburg, SC 29307: Reliably commute or planning to relocate before starting work (Required)

Work Location: One location

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