Data Scientist II GenAI
Core
Develop predictive models and apply GenAI/LLM techniques to accelerate scientific decision-making in Crop Protection R&D.
Role type
Mid-level GenAI Data Scientist (IC)
Builds
Predictive models, GenAI applications (RAG, agentic workflows), knowledge graphs for scientific use cases
Domain
Agriculture / Crop Protection / Life Sciences
Deliverable
production ML models | product features
Required skills
Machine learning, statistical modelling, experimental design, Python (pandas, scikit-learn, PyTorch/TensorFlow), data integration, software engineering best practices
Preferred skills
LLMs, embeddings, prompt engineering, agentic AI frameworks (LangChain, LangGraph), knowledge graphs (Neo4j, Cypher), cloud deployment (AWS/Azure)
Technologies
Python, pandas, scikit-learn, PyTorch, TensorFlow, Neo4j, LangChain, LangGraph, LlamaIndex, CrewAI, AWS, Azure
Responsibilities
Develop predictive models using historical and experimental data; Prepare and integrate heterogeneous datasets; Partner with domain experts to identify data science opportunities; Support design of experiments and field trials; Prototype and iterate on GenAI applications; Build and work with knowledge graphs; Develop agentic workflows combining LLMs with tools; Support evaluation and governance of AI-powered tools; Work with R&D IT to deploy analytical tools
Seniority
Mid-level, hands-on IC
