Senior Manufacturing Analytics Engineer

Cargill • Wayzata, MN

5d

About The Position

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. Job Purpose and Impact The Senior Manufacturing Analytics Engineer partners with manufacturing, smart manufacturing, and manufacturing technology teams to develop advanced analytics solutions that improve operational performance. In this role, you will translate complex business challenges into scalable, data-driven solutions and decision support tools that deliver measurable business results. You will serve as a subject matter expert in applying data analytics to manufacturing processes and play a key role in driving adoption of analytics platforms and best practices across Cargill.

Requirements

• Bachelor’s degree in engineering OR equivalent experience
• Previous experience with manufacturing processes and controls
• Process engineering or chemical engineering experience
• Minimum of four years of related work experience
• Ability to travel up to 15%

Nice To Haves

• Advanced degree in Chemical Engineering or closely related field
• Deep expertise in process analysis software (Seeq, TrendMiner, ProMV, Umetrics, PLS_Toolbox)
• Knowledge of process historians such as PI and IP.21
• Python programming experience
• Familiarity with technologies used in food processing

Responsibilities

• Promote a strong safety culture and ensure safety is embedded in all activities.
• Collaborate with engineers across manufacturing and pilot facilities to design and deliver advanced analytics solutions that generate actionable insights.
• Translate business needs into descriptive, predictive, and prescriptive analytics models that drive operational improvements.
• Lead and support the adoption of manufacturing analytics tools, standards, and best practices across the enterprise.
• Serve as a subject matter expert in manufacturing data analytics, including chemometrics, statistical modeling, and machine learning techniques.
• Provide technical leadership in data preparation, feature engineering, model selection, and deployment of analytics solutions.
• Guide teams in the effective use of analytics platforms and tools to solve complex manufacturing problems.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
• Other duties as assigned

Benefits

• Medical and/or other benefits dependent on the position offered and hours worked
• Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Senior