As a Senior Data Scientist/Engineer, you will design end-to-end data science solutions for Bayer's Vegetables Seeds Product Supply initiatives. You'll partner with crop and digital enablement teams to build ML models and data products that support organizational objectives, while deploying cloud-based applications and APIs. You will collaborate with data engineers and cross-region stakeholders to deliver enterprise dashboards and data-driven solutions, mentoring teammates and shaping digital transformation across the supply landscape.
Develop end-to-end data science solutions for Vegetables Seeds Product Supply projects
Collaborate with crop, digital enablement, and data engineering teams to build ML models, automation jobs, and cloud-based pipelines
Deploy data science projects via cloud-based applications and APIs
Align platform usage with crop science data engineering teams and digital transformation initiatives




Communicate with stakeholders across regions to define analytics requirements and deliver enterprise dashboards and data products
Provide guidance and mentorship to team members to foster a collaborative, innovative environment
Master's or Ph.D in Computer Science, Statistics, Mathematics, Data Science, or related field or bachelor's with minimum 5 years' experience
Strong ML/AI, statistical modeling, and data analysis background
Experience deploying solutions on AWS/Azure/GCP
Understanding of DevOps, CI/CD, and technologies like Docker, Terraform, CloudFormation, GH Actions, AWS Lambda, EC2, ECS
API and web app development experience (ReactJS, Shiny, NodeJS, FastAPI)
Experience with Google BigQuery, Tibco Spotfire, Tableau, Business Objects; familiarity with SAP, Salesforce, Power Automate
Strong communication
Collaboration and mentorship
Machine learning techniques (kNN, SVM, tree-based methods)
Statistical methods and hypothesis testing

📌 Senior Data Scientist, AWS (Cataluña)
🏢 Bayer
📍 Cataluña