Data Scientist - (DoE) and Predictive Modeling
Core
Design efficient experiments (DOE), develop and validate predictive ML/AI models, and deliver actionable insights to drive product design and business value in the flavor and fragrance industry.
Role type
Senior Data Scientist (Design of Experiments & Predictive Modeling)
Builds
Explainable predictive ML/AI models and optimized experimental designs for flavor creation
Domain
Flavor, fragrance, and health & biosciences
Deliverable
production ML models
Required skills
Design of Experiments (DOE), predictive machine learning, statistical modeling, Python, R, TensorFlow, PyTorch, Scikit-learn, Git, AWS/Azure/Google Cloud, Tableau/Power BI (via careerplan.io/jobs/R22171-data-scientist-doe-and-predictive-modeling-at-iff)
Preferred skills
Flavor chemistry, sensory science, human science, MLOps, Bayesian inference, uncertainty quantification
Responsibilities
Design and optimize Design of Experiments (DOE) to systematically explore relationships; Develop, validate, and deploy explainable predictive ML/AI models; Analyze large and complex datasets to uncover patterns and trends; Partner with Operations, Creative, and R&D teams to deliver data-driven solutions; Document and present findings to foster collaboration; Ensure data integrity, governance, and compliance using cloud platforms.
Seniority
Senior, hands-on IC
