Operations AI and Advanced Analytics Engineer

ROQUETTE AMERICA; Michigan; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive pay

Annual performance bonus

6% retirement contribution

Paid time off

12 holidays

Maternity/Parental leave

Job summary

ROQUETTE AMERICA is seeking a full-time AI/Analytics Engineer to partner with manufacturing sites and Operations teams across multiple locations. You will translate business challenges into technical requirements, develop predictive and optimization models, and deploy AI solutions that improve operational performance.

The role requires a strong background in analytics, process modeling, and cross-functional collaboration, with a focus on practical, measurable impact in manufacturing

Qualifications

• Bachelor's degree in a related technical discipline.
• Minimum of 5 years of experience in manufacturing, engineering, analytics, modeling, digital transformation, or a related industrial environment.
• Experience developing and deploying advanced analytical models, AI solutions, or digital applications addressing operational challenges.

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.

Education

Bachelor's degree in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or a related technical discipline

Advanced analytics, data science, digital transformation, Lean Six Sigma, or related certifications preferred

Job description

Location

This position may be located at any of the following locations:

• Midland, MI
• Plaquemine, LA
• Wilmington, DE
• Institute, WV
• Keokuk, IA
• Gurnee, IL
• Newark, DE

Compensation

The current salary range for this role is estimated to be $100,000-150,000. In addition, this position may also be eligible to earn performance-based incentive compensation. The specific compensation offered to a candidate will be influenced by a variety of factors including but not limited to skills, qualifications, experience and location.

What We Offer

• A highly collaborative team environment with ample room for exponential career growth.
• Competitive pay, annual performance bonus, comprehensive benefits, 6% company retirement contribution, and professional development opportunities.
• Generous paid time off and 12 annual paid company holidays.
• 12 weeks 100% paid maternity leave, and up to 4 weeks 100% paid parental leave (including adoption/surrogacy/foster care leave) for non-birthing parents.
• Student loan repayment assistance and tuition reimbursement program for select roles.
• Annual wellness benefit and wellness centered programs focused on your health needs.

What You'll Do

• 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.

What You'll Need

Education

• Bachelor's degree in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or a related technical discipline.
• Advanced analytics, data science, digital transformation, Lean Six Sigma, or related certifications preferred.

Experience

• Minimum of 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.
• Experience with process improvement, optimization, and operational problem-solving in manufacturing environments preferred.

Work Environment

Combination of office-based and manufacturing/plant environments.

Regular collaboration with site personnel, engineering teams, digital specialists, and operational stakeholders across multiple locations.

Physical Demands

Standard office and industrial manufacturing environment requirements.

May require standing, walking through production areas, climbing stairs, and use of required PPE while visiting manufacturing facilities.

Position Type / Expected Hours of Work

This is a full-time position.

Business hours with flexibility as required to support operational priorities and project delivery.

Business Travel

Business travel required to support manufacturing sites, cross-functional collaboration, and deploying solutions at ma