Scientific Data Scientist / Chemometrics Engineer

About the role

We are seeking a Scientific Data Scientist / Chemometrics Engineer to join our R&D and process teams in Zriba, Tunisia. You will help turn a decade of experimental and industrial knowledge into predictive molecular intelligence that drives sustainable, high‑value natural ingredient production.

Key responsibilities

• Structure, clean and harmonise more than ten years of experimental and industrial data.
• Design data architecture and standards for future R&D and process experiments.
• Build relationships between raw material characteristics, extraction parameters, fractionation conditions, analytical profiles, yields and product performance.
• Integrate and analyse GC‑MS, GC‑FID and HPLC data together with process data.
• Design and analyse experiments using DoE and statistical methods.
• Apply chemometrics and multivariate analysis to identify patterns, correlations and key process drivers.
• Develop predictive models to optimise extraction, molecular fractionation and experimental design.
• Ensure data quality, traceability, consistency and long‑term usability.

Required profile

• Engineering degree, MSc or PhD in Chemometrics, Scientific Data Science, Chemical/Process Engineering, Analytical Chemistry, Bioinformatics or related fields.
• Strong foundations in Python, statistics, DoE, multivariate analysis and machine learning.
• Experience with chromatography, spectroscopy, natural products or industrial process data is highly valued.

Required skills

• Python programming
• Statistical analysis and DoE
• Machine learning and multivariate analysis
• GC‑MS, GC‑FID and HPLC data handling
• Chromatography and spectroscopy data expertise
• Data architecture design and data cleaning/harmonisation