Senior R&D Statistical Scientist - Data-Driven Innovation

General Mills Inc.

Minneapolis (MN)

On-site

USD 111,000 - 185,000

Full time

14 days+

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Job summary

General Mills is seeking a Sr. R&D Statistical Scientist to join the Data Science & Modeling team within the ITQ function. The role blends statistics, mathematics, and modeling to transform data into actionable insights for product development, nutrition research, and quality initiatives.

The ideal candidate has a Ph.D., 3+ years of experience, and strong teaching skills to mentor colleagues worldwide. Proficiency in Python/R, SQL, and cloud data platforms is required, with excellent

Qualifications

  • Ph.D. in Statistics or Biostatistics or related field.
  • 3+ years as a statistical scientist, statistician, or analyst.
  • Strong communication and collaboration skills.
  • Proficiency in SQL and data bases like BigQuery/Oracle.
  • R and Python analytics programming; Git experience.
  • Ability to translate analyses into actionable business insights.

Responsibilities

  • Provide statistical consultation for experimental design and analysis.
  • Train, mentor, and coach statisticians across the global team.
  • Develop statistical and machine learning models in Python/R.
  • Translate insights into recommendations for business decisions.
  • Collaborate with R&D teams and stakeholders on data-driven projects.

Skills

Statistical modeling
R programming
Python programming
SQL scripting
Data storytelling
Teaching coaching
Google Cloud

Education

Ph.D. in Statistics or Biostatistics

Tools

Git

Job description

General Mills is seeking a Sr. R&D Statistical Scientist to join the Data Science & Modeling team within the ITQ function. The role blends statistics, mathematics, and modeling to transform data into actionable insights for product development, nutrition research, and quality initiatives.

The ideal candidate has a Ph.D., 3+ years of experience, and strong teaching skills to mentor colleagues worldwide. Proficiency in Python/R, SQL, and cloud data platforms is required, with excellent

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