The Senior Data Scientist/Engineer will be responsible for building end-to-end data science solutions for projects across the Veg PS digital landscape. These responsibilities include, but are not limited to:

- Partner with the crop teams and digital enablement teams to build statistical or machine learning solutions for projects in Vegetables Seeds Product Supply organization.

- Work closely with data engineers to build automation jobs and cloud-based pipelines for product supply projects.

- Demonstrate in-depth knowledge of data science tools and techniques to identify opportunities and develop data science products supporting organizational objectives and fulfill outcomes.

- Build and maintain cloud-based applications for deploying data science projects.

- Work closely with data engineers to build and maintain APIs for machine learning and data automation projects.

- Partner with crop science data engineering teams to align platform usage.

- Partner with digital transformation team to strategize and execute data integration and digital solutioning needs.

- Align and communicate effectively with stakeholders cross regionally and functionally to align on data analytics requirements and solutioning needs to produce enterprise level dashboards and data science products.

- Provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment.

Key Working relations: Crop Teams Globally, Operations &

- Supply Teams globally, Digital &
- Process Excellence Teams, Data Engineers, Data Analytics Experts, Enterprise IT Teams, Enterprise Data Science Teams, Global SPI, Commercial CX D&A; Team, CS Digital Strategy &
- Data Teams, General CS Engineering &
- Technology Teams





Skills &

- Experience:

- Master’s or Ph.D in Computer Science, Statistics, Mathematics, Data Science, or related field or bachelor's with minimum 5 years' experience.

- Strong academic background in machine learning, AI, statistical modeling, and data analysis.

- Familiarity with machine learning techniques such as kNN, SVM, tree-based methods.

- Good knowledge of statistical skills, including hypothesis testing, probability distributions, maximum likelihood estimates, Bayesian techniques.

- Proficiency in programming languages: R/Python, JavaScript, Java. Demonstrated expertise with deploying solutions on cloud platforms such as AWS/Azure/GCP.

- Good understanding of DevOps principles and CI/CD pipelines. Familiarity with technologies such as Docker, Terraform, CloudFormation, GH Actions, AWS Lambda, EC2, ECS etc.

- Application and API development experience using technologies such as ReactJS, Shiny, NodeJS and FastAPI.

- Strong communication and stakeholder mgmt.

skills to ensure business advise and influence at all levels across the organization.

- Professional knowledge on tools used within Vegetables Organization: Google Big Query, Tibco Spotfire, Tableau, Business Objects and preferably at least one of the following IT systems and platforms: SAP, Salesforce, Power Automate.

Application Period: 18.09.2026 - 05.10.2026 Reference Code: 881866

Division: Crop Science Location: Spain : Cataluña : Barcelona

Functional Area: Information Technology Position Grade: VS 1.2

Employment Type: Regular Work Time: Full Time

Contact Us

Address Telephone E-Mail

Av. Baix Llobregat, 3, 08970 Sant Joan Despí,

Barcelona, Espanya

34 93 495 69 99

[email protected]

📌 Senior Data Scientist (Barcelona)
🏢 Bayer
📍 Barcelona