R&D Statistics & Experimentation Leader (DOE)

General Mills

Minneapolis (MN)

Presencial

USD 129.000 - 193.000

Tempo integral

Há 6 dias
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Resumo da vaga

General Mills is seeking an R&D Manager of Industrial Statistics and Experimentation to lead a team of statisticians and data scientists within our global R&D organization. This is a player/coach role, guiding and developing people, setting standards for experimentation, and driving high-impact projects that accelerate product and process development.

You will be a core partner to Product, Process Development, Quality, and Operations, embedding statistical rigor in innovation, experiment design,

Qualificações

  • Master's degree in Statistics or related quantitative field with 8+ years in applied/industrial statistics.
  • 2+ years of people leadership experience in a matrixed org.
  • Proven, hands-on DOE and modeling experience (ANOVA/regression/GLM; mixed models).
  • Proficiency with JMP and/or Minitab, plus R or Python.

Responsabilidades

  • Lead, coach, and influence a high-impact statistics team within R&D.
  • Set clear standards for experimentation and DOE across projects.
  • Translate complex statistical findings into actionable recommendations for cross-functional partners.
  • Develop reusable templates, workflows, and scripts to scale learning and ensure reproducibility.

Conhecimentos

Statistical analysis
DOE
Leadership
Industrial statistics

Formação

Master's degree in Statistics or related
PhD in Statistics (preferred)

Ferramentas

JMP
Minitab
R
Python

Descrição da vaga

General Mills is seeking an R&D Manager of Industrial Statistics and Experimentation to lead a team of statisticians and data scientists within our global R&D organization. This is a player/coach role, guiding and developing people, setting standards for experimentation, and driving high-impact projects that accelerate product and process development.

You will be a core partner to Product, Process Development, Quality, and Operations, embedding statistical rigor in innovation, experiment design,

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