Data Scientist

October 7, 2026

Remote

Senior

Hilversum

Indeed

Description

IFF's Cognitive & Data Science team is hiring a Data Scientist focused on Design of Experiments and predictive modeling within the Taste business unit. The role involves designing efficient experiments, exploring high-dimensional datasets, and developing validated ML/AI models that deliver business value. You will collaborate with cross-functional experts in flavor creation and apply data-driven methods to product design and strategic decisions.

Responsibilities

Design and optimize Design of Experiments (DOE), including mixture, factorial, optimal, and space-filling designs, to systematically explore relationships
Design, develop, validate, and deploy explainable predictive ML/AI models to generate actionable insights and business value
Monitor emerging trends in data science and ML/AI, conduct competitive assessments, and evaluate new techniques and tools
Partner with Operations, Creative, and R&D teams to understand business needs and deliver data-driven solutions
Analyze large and complex datasets to uncover patterns, trends, and insights that support business strategy
Design, develop, and deploy ML/AI models using leading frameworks with reproducibility, peer review, and version-controlled code (Git)
Document and present findings, best practices, and methodologies in Confluence or equivalent platforms
Work with structured and experimental datasets ensuring data integrity, governance, and compliance while leveraging AWS, Azure, and Google Cloud
Apply domain expertise in flavor chemistry, sensory science, and human science with first-principles modeling and experimental design

Requirements

Master’s or Ph.D. in Mathematics, Data Science, Computer Science, Statistics, or a related field with strong mathematical and statistical modeling foundations
Minimum 8 years of experience in data science, ML/AI, statistical modeling, or related areas
Demonstrated hands-on expertise in Design of Experiments (DOE), including mixture, factorial, response-surface, and optimal designs
Proven track record developing explainable predictive models with feature engineering, model selection, validation, and interpretability (regularized elastic net, tree-based models, SHAP)
Advanced statistical techniques such as hypothesis testing, Bayesian inference, and uncertainty quantification
Hands-on experience with complex datasets in the chemical, manufacturing, sensory, or consumer research fields
Practical experience developing ML/AI models using TensorFlow, PyTorch, Scikit-learn, or Keras
Familiarity with MLOps principles, tracking, versioning, registries, CI/CD for ML, containerization (Docker), and model monitoring
Proficiency in Python, R, or MATLAB with understanding of object-oriented and functional programming concepts
Familiarity with AWS, Azure, or Google Cloud platforms
Strong understanding of data governance, model governance, and compliance regulations
Proficiency in data visualization tools such as Tableau, Power BI, or Looker
Excellent communication and collaboration skills to translate complex technical concepts for technical and non-technical stakeholders

Conditions

8% holiday allowance and a performance-based annual bonus scheme (AIP)
Individual Choice Budget (IKB) usable flexibly for additional vacation days or monthly payout
25 vacation days plus additional ADV days
Commuting allowance (€0.23/km, up to 72 km one way) or full reimbursement of public transport
Attractive pension scheme, company-paid disability insurance, and enhanced parental leave
Access to an Employee Assistance Program, employee resource groups, and year-round activities

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