Senior Data Scientist: Optimization & ML for Insights

General Mills Inc.; Minneapolis (MN); On-site; USD 111,000 - 185,000; Full time

Job summary

General Mills is seeking a Senior Data Scientist in Minneapolis to translate business needs into analytical solutions using optimization, simulation, and machine learning. You will design scalable analytics engines and partner with AI engineers, product owners, and business partners to deliver impactful insights.

You will develop production-ready models, evaluate new technologies, and communicate findings clearly to stakeholders, ensuring data-driven decisions across the organization.

Qualifications

• 5+ years in data science, decision sciences, operations research, or related field; 3+ years with PhD considered.
• Strong proficiency in SQL and Python with solid DB understanding.
• Experience with large-scale optimization, machine learning, and data visualization.
• Strong quantitative/analytical judgment to identify data issues and develop practical solutions.
• Strong communication and collaboration skills to align with business priorities.

Responsibilities

• Partner with leadership and partners to develop optimization models using advanced tools.
• Provide data science leadership within a product team with a strategic roadmap.
• Design and develop modeling frameworks for deterministic and combinatorial optimization and ML.
• Build production-ready analytics models delivering real-time insights.
• Evaluate emerging tech and balance effort, quality, and value.
• Monitor model performance and iterate with feedback from partners.
• Communicate rationale behind recommendations to build trust.
• Advocate for data-driven decision-making and scalable processes.
• Collaborate with Data Scientists through peer reviews and feedback.

Skills

SQL

Python

Optimization

Machine learning

Data visualization

Education

Master’s or PhD in Operations Research / Industrial Engineering / Computer Science

Job description

General Mills is seeking a Senior Data Scientist in Minneapolis to translate business needs into analytical solutions using optimization, simulation, and machine learning. You will design scalable analytics engines and partner with AI engineers, product owners, and business partners to deliver impactful insights.

You will develop production-ready models, evaluate new technologies, and communicate findings clearly to stakeholders, ensuring data-driven decisions across the organization.