Applied Data Scientist, Pipeline in Plant Breeding

Syngenta; Durham (NC); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work options

Medical, dental & vision benefits

401k with company match

Paid vacation & holidays

Job summary

Syngenta in the United States is seeking an Applied Scientist specializing in Pipeline Data Science to design scalable data solutions that drive actionable insights for plant breeding.

You will build robust data pipelines, ensure data quality, and collaborate with IT, data science teams, and business stakeholders to translate analytics into practical breeding improvements.

Candidates should hold a Master’s in a quantitative field, be proficient in Python and SQL, and have cloud/ML experience.

Qualifications

• Master's in a quantitative field required.
• Strong programming and data analysis skills.
• Ability to communicate with diverse stakeholders.

Responsibilities

• Build scalable data pipelines to integrate data from multiple sources.
• Ensure data quality, reliability and accessibility for stakeholders.
• Drive data modeling and mining to support innovative analytics.
• Collaborate with IT, data science teams, and business stakeholders to align data solutions with goals.
• Identify opportunities to apply ML frameworks and cloud platforms to improve predictive pipelines.

Skills

Python

R

SQL

AWS

Data analytics

Team collaboration

Education

Master's degree in Computer Science/Statistics/Applied Mathematics

Tools

Docker

Kubernetes

Keras

PyTorch

scikit-learn

Job description

Syngenta in the United States is seeking an Applied Scientist specializing in Pipeline Data Science to design scalable data solutions that drive actionable insights for plant breeding.

You will build robust data pipelines, ensure data quality, and collaborate with IT, data science teams, and business stakeholders to translate analytics into practical breeding improvements.

Candidates should hold a Master’s in a quantitative field, be proficient in Python and SQL, and have cloud/ML experience.