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À propos
Develop advanced statistical and machine learning models to analyze consumer sensory preferences across various products and demographics Design and implement models for harmonizing sensory and consumer datasets across different studies and methodologies Communicate insights clearly to stakeholders, translating analytical outputs into actionable recommendations for R&D and product development
Required qualifications
Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related field Strong foundation in probability theory and Bayesian inference Experience with hierarchical/mixed-effects models and latent variable modeling Hands-on experience with variational inference and/or MCMC methods Proficiency in Python and/or R, along with strong data engineering and SQL capabilities
Compétences linguistiques
- English
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