Applied Scientist, Pipeline Data Science in Plant Breeding

Syngenta Seeds; Durham (NC); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Full Benefit Package (Medical, Dental,

401k plan with company match

Paid Vacation & Holidays

Education Assistance

Job summary

Syngenta Seeds is seeking an Applied Scientist - Pipeline Data Science in the United States. You will design scalable data pipelines that consolidate diverse breeding datasets, enabling actionable insights for crop development.

You will model data and apply machine learning techniques to support predictive analytics, working with IT, data science, and business teams to deliver impactful results in a collaborative, cutting-edge environment.

Qualifications

• Master's degree or higher in a quantitative field (e.g., CS, statistics, applied math, quantitative genetics).
• Strong programming skills in Python, R, SQL; experience with data engineering and analytics.
• Experience with AWS and scalable data pipelines; ability to translate data into actionable insights.

Responsibilities

• Design scalable data pipelines to consolidate data from multiple sources for plant-breeding analytics.
• Contribute to data quality, reliability, and visualization to enable decision making.
• Drive data modeling and mining for advanced analytical approaches and ML workflows.
• Collaborate with IT, data science teams, and business stakeholders to align data solutions.

Skills

Python

R

SQL

AWS

Data analytics

Team collaboration

Docker/Kubernetes

ML frameworks

Education

Master's in CS/Statistics/Applied Math/Quantitative Genetics

Tools

Relational databases

NoSQL databases

Job description

Syngenta Seeds is seeking an Applied Scientist - Pipeline Data Science in the United States. You will design scalable data pipelines that consolidate diverse breeding datasets, enabling actionable insights for crop development.

You will model data and apply machine learning techniques to support predictive analytics, working with IT, data science, and business teams to deliver impactful results in a collaborative, cutting-edge environment.