> Markdown version of [/jobs/ext/4085369-data-scientist](https://www.wearedevelopers.com/jobs/ext/4085369-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist

- **Company:** Enza Zaden
- **Location:** Enkhuizen, Netherlands (Remote available)
- **Salary:** €4,356
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Applications Architecture, Information Engineering, Web Development, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Software Application Programming, Git, Information Technology, Data Analytics
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6803d9e4ee3ad01d

## About the Role

* You are curious and keen to deepen your knowledge of both data science and genetics. You communicate clearly, think ahead, and confidently share your professional perspective. You enjoy working across disciplines to turn ideas into solutions that people use. In addition, you have:
 * A background in Computer Science or a comparable field;
 * Strong knowledge of R, Python, and SQL;
 * Preferably, knowledge of or experience with plant breeding through education or work;
 * Preferably, experience with Git and data engineering;
 * The ability to translate complex questions into practical and scalable applications;
 * Willingness to travel internationally, particularly to breeding teams in the Netherlands and Spain.

## Description

As a Data Scientist, you will develop and implement data science and AI applications within our new breeding platform. You will explore the needs of breeders and crop teams and define what success looks like. Together with colleagues across R&D, you will bring scalable data science solutions into production. In this role, your work will include:

 * Developing web applications that support breeders in their daily work;
 * Translating complex questions from crop teams into practical data science applications;
 * Analyzing and combining large volumes of phenotype, genotype, sensor, and environmental data;
 * Developing applications in statistics and genetics;
 * Collaborating with data scientists, machine learning engineers, researchers, bioinformaticians, and data engineers;
 * Optimizing code and working with IT to ensure algorithms run reliably and at scale.

You will work in a multidisciplinary team and report to the Global Manager Data Insights & Data Innovations. Together, you will help Enza Zaden further develop as a data-driven plant breeding company.