On-site Agronomy Data Scientist: Drone Imagery & Field Data

Aerialplot; Fargo (ND); On-site; USD 70,000 - 130,000; Full time

Benefits offered by this job

Relocation assistance (ROOT grant)

Job summary

aerialPLOT in Fargo, ND seeks an Agronomy Data Scientist to turn drone imagery and field data into reliable phenotypes and treatment-effect estimates. You will build models and help ensure analyses hold up to scrutiny.

You'll support client reviews, explain data insights to PhDs and growers, and serve as the agronomy data science expert inside the team, collaborating with agronomists, product, and engineering. The role includes cleaning data, dashboards in aerialFARMS, and scalable workflows.

Qualifications

• Master's or PhD preferred in Statistics, Data Science, Agronomy, Crop Science, Ag Engineering, or similar.
• Real experience with experimental design and treatment effect analysis.
• Fluent in Python or R.
• Experience with agricultural or geospatial data.
• Remote sensing a plus.
• Comfortable with cloud platforms, databases, and Git.
• Ag experience is an absolute must.

Responsibilities

• Build the models. Turn drone imagery and field data into digital phenotypes, growth curves, and treatment effect estimates that hold up to scrutiny.
• Support client reviews. Sit in on trial readouts with seed companies, biologicals firms, and CROs.
• Be the agronomy data science expert in the building. When agronomists, product, or engineering need a methodology checked or a question framed, you're the one they come to.
• You'll also clean and structure datasets, build dashboards in our aerialFARMS platform, and help make our analytical workflows faster, more scalable, and more scientifically sound.

Skills

Python

R

Experiment design

Data science

Geospatial data

Education

Master's in Statistics

PhD in Agronomy

Tools

Git

Cloud platforms

Databases

Job description

aerialPLOT in Fargo, ND seeks an Agronomy Data Scientist to turn drone imagery and field data into reliable phenotypes and treatment-effect estimates. You will build models and help ensure analyses hold up to scrutiny.

You'll support client reviews, explain data insights to PhDs and growers, and serve as the agronomy data science expert inside the team, collaborating with agronomists, product, and engineering. The role includes cleaning data, dashboards in aerialFARMS, and scalable workflows.