Sensory Scientist - Product Guidance & Insight in Minneapolis MN

General Mills
Sensory Scientist - Product Guidance & Insight
Job ID: 
Minneapolis MN
Not Specified
Not Specified
Job Types:
Food Technol/Scientist, Research Technician, Sensory - R & D

Overview & Responsibilities

The Product Guidance & Insight Sensory Scientist ensures products are optimized and the quality as designed delivers on the critical sensory design principles and the job to be done.


  • Partner with Consumer Insights, Research and Development, Marketing, Packaging, Supply Chain, and other business and product teams to guide the optimization of new products, product improvements, and protect product quality as designed
  • Drive projects through appropriate product and packaging consumer and sensory learning plans from optimization to confirmatory testing, inclusive of building foundational product knowledge, protecting product quality, and enhancing consumer understanding.
  • Facilitates consumer interactions to grow consumer empathy
  • Courageously champion product design and product quality as the sensory representative on business teams
  • Collaborate with global team members on global initiatives for the platform
  • Apply design of experiments to sensory and consumer testing
  • Synthesize qualitative consumer learning and interpret statistical analysis of results of quantitative sensory and consumer testing
  • Communicate key findings in a relevant and easy to understand manner and guide business teams to next steps in the product development process


  • M.S. degree in Sensory Science, Food Science, Psychology, Statistics, or related field
  • Exceptional interpersonal, collaboration, and influence skills.
  • Strong written and verbal communication skills
  • Ability to manage resources and leverage existing data to effectively lead multiple projects


  • Experience planning and executing sensory and/or consumer research in partnership with Product Design teams and/or GCI is preferred.
  • Fundamental understanding of applied statistical analysis, including design of experiments and multivariate analysis techniques.
  • Experience in using advanced statistics and modeling, to provide advanced analytic solutions to product and business teams.
  • Experience in using Natural Language Processing (NLP) and machine learning algorithms uncover impactful insights from textual data.

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