Breeding Data Scientist

Company: Syngenta

Location: Durham, NC 27709 (Remote)

Salary: $104,800 - $157,200 a year

Type: Full-time

Remote: Yes

Posted: 2026-09-29

About this role

Company Description

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices

Job Description

Working collaboratively with team members and cross-functional partners, the role contributes to the development, delivery, and maintenance of reporting and analytics applications that provide trusted, accessible decision support.

This role establishes sustainable, scalable, and governed capabilities that connect R&D and commercial product portfolio information. Building on existing workflows, it enables standardized identity alignment, data exchange, traceability, and reuse across internal source systems. Together, these data and analytical capabilities provide a reliable foundation for portfolio management, seed production planning, pricing optimization, and AI-enabled decision support.

Accountabilities:

  • Own the end-to-end delivery and continuous improvement of data and analytical products, from problem framing and requirements definition through design, development, validation, deployment, and adoption.
  • Translate complex scientific and business needs into clear product requirements, fit-for-purpose analytical approaches, prioritized work, and measurable outcomes.
  • Establish governed, scalable capabilities that connect R&D and commercial product portfolio information, enabling standardized identity alignment, data exchange, traceability, and reuse across internal systems.
  • Develop and deploy analytical and AI-enabled...

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