Senior Data Scientist & Cloud ML Engineer

Bayer CropScience Limited; Barcelona; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

The Bayer CropScience Limited Senior Data Scientist/Engineer will lead end-to-end data science initiatives across Veg PS digital landscape. You will partner with crop and digital enablement teams to build ML solutions, cloud pipelines, and APIs that deliver enterprise dashboards and data products.

You will mentor team members and coordinate with stakeholders across regions, applying advanced ML, statistics, and analytics to optimise product supply and digital transformation efforts.

Formación

• Advanced degree in CS, Statistics, Math, or Data Science.
• 5+ years of experience in data science or related fields.
• Strong ML knowledge: kNN, SVM, tree-based methods.
• Proficiency in R, Python, Java, or JavaScript; cloud deployment (AWS/Azure/GCP).
• Experience with API development and cloud-native apps.

Responsabilidades

• Build end-to-end data science solutions for Veg PS digital projects.
• Partner with crop teams and digital enablement to develop ML solutions.
• Collaborate with data engineers to create cloud-based pipelines and automation jobs.
• Deploy data science projects and maintain cloud-based applications.
• Develop APIs for ML and data automation projects.
• Align platform usage with cross-region stakeholders and teams.
• Mentor and guide team members to foster collaboration and innovation.

Conocimientos

Machine learning

Data analysis

Statistical modelling

Cloud deployment

API development

R/Python/Java/JavaScript

DevOps / CI/CD

ReactJS / Shiny / NodeJS / FastAPI

Stakeholder management

BigQuery / Tableau / Spotfire

Educación

Master's or PhD in CS/Statistics/Math/Data Science

Herramientas

Docker

Terraform

CloudFormation

GH Actions

AWS Lambda

EC2 / ECS

Descripción del empleo

The Bayer CropScience Limited Senior Data Scientist/Engineer will lead end-to-end data science initiatives across Veg PS digital landscape. You will partner with crop and digital enablement teams to build ML solutions, cloud pipelines, and APIs that deliver enterprise dashboards and data products.

You will mentor team members and coordinate with stakeholders across regions, applying advanced ML, statistics, and analytics to optimise product supply and digital transformation efforts.