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 :
- 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.
- Support statistical analysis of sensory & consumer data to identify insights and co-develop prediction models in collaboration with external partners.
- 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.
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Sensory Expertise – broad knowledge and experience in a range of sensory & consumer methods, especially quantitative studies.
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Analysis and Interpretation – advanced understanding of basic and multivariate statistics to analyze sensory & consumer data (e.g. preference mapping, segmentation, etc.).
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Experience with statistical software, such as SAS, EyeQuestion, Compusense etc.
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Proficiency in programming language, preferably in R or Python
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Experienced in visualization tools (PowerBi, Shiny etc.).
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Intellectual curiosity for problem-solving using data science modeling techniques and passion for keeping up to date with current methodological developments.
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Experience writing and speaking about technical concepts to business, technical, and high-level audiences and giving understandable data-driven presentations.
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Fluent in English; and international experience is a bonus.
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Purpose-driven person, who wants to contribute to Danone’s Mission to positively impact health.