Applied Data Scientist — Plant Breeding & Genomics

Syngenta Group; Noord-Holland; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Profit sharing

Flexible work

Learning platform

EAP

25 vacation days

Pension plan

Travel allowance

Job summary

Syngenta Group is seeking an Applied Scientist to design scalable data pipelines for pipeline data science in Seeds Development / Vegetables. You will consolidate diverse data sources to empower breeding decisions and accelerate insights.

You will drive data modeling, mining, and analytics while collaborating across IT, data science, and business teams to advance genomic prediction and new analytical approaches in plant breeding.

Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related field.
• Strong programming skills in Python, R, SQL and data wrangling.
• Experience with cloud platforms (AWS) and data pipelines.

Responsibilities

• Build scalable data pipelines; integrate data from multiple sources.
• Ensure data quality, reliability, and governance across datasets.
• Develop and apply data modeling and mining for advanced analytics.
• Collaborate with IT, data science teams and stakeholders to deliver solutions.
• Explore opportunities to apply ML frameworks and cloud platforms.

Skills

Python

R

SQL

Relational databases

NoSQL databases

AWS

Data analytics

Communication

Education

Master’s in CS/Statistics/Applied Mathematics

Tools

Docker

Kubernetes

Keras

PyTorch

scikit-learn

Job description

Syngenta Group is seeking an Applied Scientist to design scalable data pipelines for pipeline data science in Seeds Development / Vegetables. You will consolidate diverse data sources to empower breeding decisions and accelerate insights.

You will drive data modeling, mining, and analytics while collaborating across IT, data science, and business teams to advance genomic prediction and new analytical approaches in plant breeding.