Data Scientist

Experteer Overview Join Bayer’s Machine Learning u**amp; AI unit to turn complex business questions into measurable AI-driven impact across functions like Finance, Supply Chain, HR, and more.You will combine GenAI with classical ML, lead rigorous experimentation, and deliver production-ready AI solutions on a cloud-native stack.Collaborate with cross-functional partners to drive adoption and scale responsible AI in a global setting.This role offers a chance to shape enterprise AI initiatives and contribute to Bayer’s mission of empowering health and sustainability.Compensaciones / Beneficios* Translate business needs into DS problems with clear hypotheses and success metrics* Design, build, and evaluate GenAI solutions (LLMs, agent workflows, embeddings) and classical ML models* Establish rigorous evaluation plans including offline metrics and human-in-the-loop reviews* Develop production-grade Python code with Git workflows, tests, docs, and reproducibility* Monitor data/feature drift, model/prompt versioning, and cost/latency; implement structured logging* Collaborate with Product, Data Engineers, AI Engineers, and stakeholders to drive adoption* Lead workshops and stakeholder storytelling on insights, risks, and trade-offsResponsabilidades* Master’s or PhD with 2+ years in Data Science or Applied ML* Strong Python and SQL skills; pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus* Hands-on with Generative AI: embeddings, prompt engineering, tool calls; agent frameworks (LangChain, LangGraph, PydanticAI)* Experience with vector databases (pgvector)* Solid ML fundamentals: model selection, validation, metrics; time series/forecasting a plus* Experience with offline/online tests, GenAI evaluation, safety checks, LangSmith/Langfuse beneficial* Clear stakeholder communication and ability to influence decisions with data* Basic cloud proficiency (AWS/Azure): storage/compute, Databricks or Spark; CI/CD familiarity* Good engineering hygiene: modular code, testing, documentation, reproducibility* Data governance and privacy awareness* Fluent in English; additional languages a plusRequisitos principales*

• Master’s or PhD with 2+ years in Data Science or Applied ML
• Strong Python and SQL skills; pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus
• Hands-on with Generative AI: embeddings, prompt engineering, tool calls; agent frameworks (LangChain, LangGraph, PydanticAI)
• Experience with vector databases (pgvector)
• Solid ML fundamentals: model selection, validation, metrics; time series/forecasting a plus
• Experience with offline/online tests, GenAI evaluation, safety checks, LangSmith/Langfuse beneficial
• Clear stakeholder communication and ability to influence decisions with data
• Basic cloud proficiency (AWS/Azure): storage/compute, Databricks or Spark; CI/CD familiarity
• Good engineering hygiene: modular code, testing, documentation, reproducibility
• Data governance and privacy awareness
• Fluent in English; additional languages a plus