Operations AI and Advanced Analytics Engineer
About The Position
Roquette is seeking an Operations AI & Advanced Analytics Engineer for its Operations Data and Advanced Analytics Team. The role serves as a global subject matter expert in AI, advanced analytics, modeling, and digital solutions for Operations. The engineer identifies opportunities to improve operations and develops, deploys, and sustains AI- and machine-learning-driven applications, analytical models, and optimization solutions to improve safety, quality, reliability, productivity, capacity, cost, and sustainability across the manufacturing network. The position may be based in Midland, Michigan; Plaquemine, Louisiana; Wilmington, Delaware; Institute, West Virginia; Keokuk, Iowa; Gurnee, Illinois; or Newark, Delaware. It combines office work with manufacturing and plant environments, and includes required business travel to manufacturing sites (typically 5–10%, with periodic increases during major deployments). Work is generally during business hours, with flexibility as required to support operational priorities and project delivery.
Requirements
- Bachelor's degree in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or a related technical discipline.
- At least 5 years of experience in manufacturing, engineering, analytics, modeling, digital transformation, or a related industrial environment.
- Demonstrated experience developing and deploying advanced analytical models, AI solutions, or digital applications that address operational challenges.
- Experience collaborating across sites, functions, and multidisciplinary teams.
- Ability to travel to manufacturing sites; business travel is typically 5–10%, with periodic increases during major deployments.
Nice To Haves
- Advanced analytics, data science, digital transformation, Lean Six Sigma, or related certifications.
- Experience with process improvement, optimization, and operational problem-solving in manufacturing environments.
Responsibilities
- Partner with manufacturing sites and Operations teams to identify, assess, and prioritize opportunities for AI, advanced analytics, simulation, and optimization.
- Translate operational business challenges into technical requirements, analytical approaches, and measurable success criteria.
- Lead diagnostics and root-cause investigations with process experts, engineers, and operational stakeholders.
- Develop, maintain, and validate statistical, simulation, first-principles, and hybrid process models.
- Design, test, deploy, and support machine learning and advanced analytics solutions for prediction, anomaly detection, process optimization, and decision support.
- Build AI-enabled applications, dashboards, user interfaces, and integrated digital solutions to improve operational performance.
- Monitor model performance and continuously improve accuracy, reliability, and business impact.
- Provide technical leadership and subject matter expertise in AI, analytics, modeling, and digital solution development across Operations.
- Mentor engineers and analysts while promoting best practices, reusable solutions, and technical capability development.
- Lead technical workstreams and ensure compliance with cybersecurity, technology governance, data quality, EHS, and regulatory requirements.
Benefits
- Competitive pay and annual performance bonus.
- Comprehensive benefits.
- 6% company retirement contribution.
- Professional development opportunities.
- Generous paid time off and 12 annual paid company holidays.
- 12 weeks of 100% paid maternity leave.
- Up to 4 weeks of 100% paid parental leave for non-birthing parents, including adoption, surrogacy, and foster care leave.
- Student loan repayment assistance and tuition reimbursement program for select roles.
- Annual wellness benefit and wellness-centered programs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
