Senior R&D Statistician: Data Modeling & Insights

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

Job summary

General Mills is seeking a Sr. R&D Statistical Scientist (Statistician) to join the Data Science & Modeling team within ITQ. You will blend statistics, mathematics, modeling, and technology to transform data into actionable insights that drive business results.

The role emphasizes teaching, mentoring, and collaboration across a global team. You will solve business problems in product development, nutrition research, consumer testing, and product quality, using Python, R, and cloud-based

Qualifications

• PhD in Statistics or Biostatistics or a related field.
• 3+ years of relevant work experience in statistics/scientific roles.
• Strong problem solving and proactive delivery mindset.
• Excellent communication and collaboration skills.
• Experience turning data into actionable insights for decisions.

Responsibilities

• Provide statistical consultation on experimental design and analysis.
• Train and coach other statisticians across the global team.
• Translate complex analyses into actionable insights for business decisions.
• Develop statistical and ML models using Python, R, or similar tools.
• Scale analytics solutions for big data on cloud platforms like Google Cloud.
• Build data pipelines and deploy analytics to internal stakeholders.

Skills

Statistical modeling

Experiment design

Data analysis

Mentoring

Communication

Education

PhD in Statistics or Biostatistics

Tools

SQL

BigQuery

Oracle

Python

R

Git

Job description

General Mills is seeking a Sr. R&D Statistical Scientist (Statistician) to join the Data Science & Modeling team within ITQ. You will blend statistics, mathematics, modeling, and technology to transform data into actionable insights that drive business results.

The role emphasizes teaching, mentoring, and collaboration across a global team. You will solve business problems in product development, nutrition research, consumer testing, and product quality, using Python, R, and cloud-based