Job position as Senior UX Data Manager for Danone Nutricia Research, Utrecht, The Netherlands

About the Job

Nutricia Research Centre for Specialized Nutrition, located in the Utrecht Science Park in the Netherlands is a state-of-the-art Life Science innovation center for the development of new product concepts for Specialized Nutrition.

A Senior UX Data Manager in the User Experience team is sought to accelerate the digital developments for the sensory & consumer data. This new position is a great opportunity for someone wishing to join a dynamic community, in the User Experience department of Danone Nutricia Research in Utrecht.

Your main responsibilities 

As Senior UX Data Manager you will use your expertise in Sensory & Consumer Data Science within the UX SN team to provide industry-leading data science solutions to understand and explain users’ perceptions and direct product development. Your mission is to :

  1. Inspire and fuel innovation projects through big learnings generated from sensory & consumer data and linking it to data sets from different disciplines to drive significant business benefits. 
  2. Support statistical analysis of sensory & consumer data to identify insights and co-develop prediction models in collaboration with external partners. 
  3. Ensure analyses are in adherence with data strategy including responsibility for data collection, databases, data quality & data governance.  

In this role you will interface with multi-disciplinary teams and key capabilities in R&I. Given this, you should bring experience in sensory and consumer design research together with a passion for bringing the consumer voice into the business, and the ability to influence key business partners.

About you

  • Master’s degree or equivalent in Food Science, Sensory/Sensometrics, Data Science, Statistics, or related fields with at least 3 years of industry experience. 
  • Sensory Expertise – broad knowledge and experience in a range of sensory & consumer methods, especially quantitative studies. 

  • Analysis and Interpretation – advanced understanding of basic and multivariate statistics to analyze sensory & consumer data (e.g. preference mapping, segmentation, etc.). 

  • Experience with statistical software, such as SAS, EyeQuestion, Compusense etc. 

  • Proficiency in programming language, preferably in R or Python 

  • Experienced in visualization tools (PowerBi, Shiny etc.). 

  • Intellectual curiosity for problem-solving using data science modeling techniques and passion for keeping up to date with current methodological developments.   

  • Experience writing and speaking about technical concepts to business, technical, and high-level audiences and giving understandable data-driven presentations.   

  • Fluent in English; and international experience is a bonus.  

  • Purpose-driven person, who wants to contribute to Danone’s Mission to positively impact health. 

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