Data Scientist
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where Health for all, Hunger for none is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’.
About the Role
We’re hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer's Enterprise Data & Analytics Platform. This is not a pure modeling role; you will extract data from source systems, wrangle messy real-world data, build statistical and ML forecast models, engineer production pipelines, evaluate results, present insights to business stakeholders, develop interactive applications, and maintain the entire infrastructure.
You’ll tackle unstructured problems independently and deliver measurable impact across Finance, Supply Chain, HR, Procurement, and Commercial Operations.
Our international team spans Poland, Germany, Spain, and India.



We work with time series forecasting, statistical modeling, data engineering, and interactive analytics on a modern cloud-native stack. If you thrive on end-to-end ownership—from source systems to stakeholder dashboards—and enjoy solving ambiguous business problems with minimal guidance, we want to hear from you.
Key Responsibilities
End-to-End Solution Ownership
- Own the complete lifecycle from understanding business needs through production deployment, monitoring, and maintenance
- Build robust ETL/ELT pipelines on Databricks; clean, validate, and transform messy real-world data at scale
- Transform loosely defined business questions into structured solutions independently—identifying data gaps, proposing approaches, and iterating based on feedback

Forecasting & Modeling
- Design and deploy production-grade forecasting solutions using statistical models (ARIMA, ETS, BSTS) and ML approaches

📌 Data Scientist (España)
🏢 Bayer CropScience
📍 España