Hiring: Industrial R&D Statistics & Experimentation Manager Company: General Mills Location: Minneapolis, MN Job Posted Time: 2026-09-17 09:22:34 Employment Type: Full-time / Remote Target Skills & Keywords : Python, R About the job Experience: •8+ years of applied / Industrial statistics experience in R&D, product/process development, or an industrial setting. •2+ years of people leadership experience, with a demonstrated ability to develop talent and manage team performance. Required Skills: •Lead, Coach, and Influence •Manage and develop a high-impact team: Lead, coach, and inspire your team through clear priorities and strong operating rhythms. Use General Mills’ talent processes to manage performance, develop skills, build long-term career growth, and foster a culture of continuous learning and innovation •Partner to Drive ITQ results: Partner across R&D and leverage your statistical expertise and business insight to influence technical strategy and decision-making in a matrixed environment to accelerate product development and improve product robustness •ITQ Influencer: Builds trust and alignment through credibility and clear communication, driving decisions without direct authority. •Set clear standards for engagement: Proactively establish and communicate clear ways of working for your team, ensuring team members know how to engage effectively with stakeholders to get the best results and build strong partnerships across ITQ. •Own R&D Experimentation Excellence (DOE is central) •Lead end-to-end Design of Experiments strategy: Guide the team on full-cycle experimentation, from screening and optimization to robustness and confirmation. •Select practical, fit-for-purpose designs: Choose the right experimental approach under real-world constraints (e.g., limited runs, pilot capacity, cost, split-plot designs). Qualifications: •Master's Degree in Statistics, Applied Statistics, Data Science, Industrial Engineering, or a related quantitative field •A strong track record of influencing in a matrixed organization. •Demonstrated, hands-on expertise in Design of Experiments (DOE) and applied modeling (ANOVA/regression/GLM; mixed models). •Proficiency with common statistical tools such as JMP and/or Minitab, plus R or Python •Ph.D. in Statistics, Applied Statistics, Data Science, Industrial Engineering, or a related quantitative field •Six Sigma Black Belt or Master Black Belt •Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas. •This role is open to relocation to the Minneapolis, MN market, but international relocation and remote assignments will not be considered. Compensation: •$128,900 - $193,400 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!