On-Site ML Scientist: Crop Breeding & Yield Forecasting

Beck's Hybrids; Atlanta (IN); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health benefits

401k match

Paid time off

Company events

Merchandise allowance

Job summary

Beck’s Hybrids seeks a data science professional to design, develop, and deploy advanced ML models that accelerate corn breeding, envirotyping, and yield forecasting. You will integrate genetic, environmental, and phenotypic data to deliver actionable insights for breeders and agronomists.

Work on-site at the Atlanta, IN headquarters with collaboration across genetics, plant science, and data engineering teams.

Qualifications

• BS/MS/PhD in statistics, data analytics, CS, mathematics, plant genetics, or related field.
• Three years of ML/data analytics experience preferred.
• Strong programming and data wrangling skills in Python/R/SQL.
• Experience building and deploying production ML pipelines.

Responsibilities

• Collaborate with breeding, biotech, and data engineering teams to build ML models.
• Develop predictive models for yield, drought tolerance, and disease resistance.
• Build scalable ML pipelines for preprocessing, training, deployment and monitoring.
• Translate complex data into actionable insights for stakeholders.
• Monitor model performance and retrain as needed.

Skills

Python

R

SQL

Data structures

Algorithms

Deep learning

Reinforcement learning

Production code

Communication

Education

BS/MS/PhD in statistics or CS or plant breeding

Tools

Docker

ML frameworks

Git

Job description

Beck’s Hybrids seeks a data science professional to design, develop, and deploy advanced ML models that accelerate corn breeding, envirotyping, and yield forecasting. You will integrate genetic, environmental, and phenotypic data to deliver actionable insights for breeders and agronomists.

Work on-site at the Atlanta, IN headquarters with collaboration across genetics, plant science, and data engineering teams.