Senior Scientist (f/m/d)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Scientist (f/m/d) (AI/Graph Data Science): Develop and productionize machine-learning and graph-based models, including Neo4j Cypher/knowledge graphs and GraphRAG, with an accent on agentic LLM tooling and building predictive performance models. Focus on production-quality Python code, CI/CD-ready delivery, and translating model outputs into decision-relevant insights for non-technical stakeholders.
Company
supports dsm-firmenich’s Data Science team across innovation projects in food, perfumery, beauty, and health.
What you will do
- Build machine-learning models using graph data science: Neo4j Cypher production queries, traversal logic, GraphRAG, knowledge graphs, property graph data models, and embedding vectors.
- Develop ML models on tabular data with feature engineering, cross-validation design, model selection, and interpretability with multivariate statistical analysis.
- Create, validate, and maintain predictive performance models across business units using multi-source data.
- Develop agentic AI tooling with Azure and AWS Bedrock, including artifact generation, storage/processing, unit testing, LLM tooling, prompt engineering, tool/function calling, and structured outputs.
- Deliver production-quality Python code (pandas, polars, numpy, scipy, scikit-learn) and APIs (FastAPI), working with git and CI/CD pipelines.
- Communicate scientific and model results in decision-relevant language and collaborate with business units to commercialize research outcomes.
Requirements
- Location: Delft Biotech Campus, Netherlands
- Ph.D., master’s degree, or equivalent experience in Physics, Chemistry, Engineering, Structural Biology, Computer Science, AI, or a related field.
- 5+ years of academic or industrial experience in chemical industry areas such as bio- and cheminformatics or formulation.
- Proven experience working in high-performance teams and guiding technical work to successful outcomes.
- Track record of data-driven insights that inform business decisions, with strong drive and entrepreneurial innovation.
Culture & Benefits
- Work with a dynamic, multicultural, interdisciplinary team applying ML and modeling to chemistry, perfumery, tastes, and health.
- Opportunities to apply scientific skills to innovations in health, nutrition, and beauty.
- In-house training courses for skill growth and development.
- Support for science-based innovations with significant R&D investment.
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