Operations AI and Advanced Analytics Engineer

Roquette; Midland (MI); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive base pay

Annual performance bonus

6% company retirement contribution

Generous PTO and 12 holidays

Parental leave (including adoption/sur

Student loan repayment assistance

Tuition reimbursement

Wellness program

Job summary

Roquette is hiring for a high‑impact analytics role focused on AI, simulations, and optimization across multiple manufacturing sites. The position emphasizes translating business challenges into data‑driven solutions and leading diagnostics with engineers and operations teams.

The candidate will develop and deploy ML and analytics solutions, build dashboards, and mentor engineers while ensuring data quality, cybersecurity, and regulatory compliance. Remote/hybrid options are location dependent.

Qualifications

• 5+ years of experience in manufacturing, engineering, analytics, modeling, digital transformation, or 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.

Responsibilities

• Identify, assess, and prioritize opportunities for AI, analytics, simulation, and optimization across sites.
• Translate operational challenges into technical requirements and measurable success criteria.
• Lead diagnostics and root‑cause investigations with process engineers and stakeholders.
• Develop, validate, and maintain statistical and simulation models including first‑principles and hybrid approaches.
• Design, deploy, and monitor ML and analytics solutions for prediction, anomaly detection, and optimization.
• Build AI-enabled applications and dashboards to improve operational performance.
• Provide technical leadership in AI, analytics, modeling, and digital solution development.
• Mentor engineers and analysts and promote best practices across Operations.
• Ensure cybersecurity, governance, data quality, and regulatory compliance in projects.

Skills

AI

Analytics

Simulation

Optimization

Machine Learning

Data Modeling

Education

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

Lean Six Sigma or related certification

Job description

Roquette is a family‑owned global leader in plant‑based ingredients and a leading provider of pharmaceutical excipients. Want to help us make a difference? Using plant‑based resources, we collaborate with our customers and partners to imagine and offer ingredients to better feed people and treat patients. Each of our ingredients responds to unique and essential needs, and they enable healthier lifestyles.

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.

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 manufacturing sites. 5 - 10% Travel with periodic increases during major deployments.

AAP/EEO Statement

Roquette is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. “AAP, EEO, Drug‑Free Workplace.”

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Roquette is proud to be a global company where you can find personal and professional growth through multiple diverse experiences.

Roquette strives to create a dynamic workforce while remaining firmly committed to equal opportunity by complying with EEO laws.

As we continue to grow, Roquette understands that to be successful we must always be inclusive in our approach.

To find out more about our products, values and sustainable development ambitions visit us at www.roquette.com and at www.sustainability.roquette.com