Agronomy Data Scientist

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

Agronomy Data Scientist | aerialPLOT | Fargo, ND (On-site, Full-time)

We fly a lot of field trials. Small plots. Strip trials. Commercial grower trials. Across the US and Canada.

That means a lot of imagery, a lot of plot-level data, and a lot of clients asking the same question: did the product work?

We're hiring someone to help answer it properly.

What you'll do

• Build the models. Turn drone imagery and field data into digital phenotypes, growth curves, and treatment effect estimates that hold up to scrutiny. Spatial variability, mixed models, nonlinear fits, ML where it actually helps.
• Support client reviews. Sit in on trial readouts with seed companies, biologicals firms, and CROs. Explain what the data says, what it doesn't, and why. Plainly.
• 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.

What we're looking for

• Master's or PhD preferred in Statistics, Data Science, Agronomy, Crop Science, Ag Engineering, or similar. Strong practical experience counts too.
• Real experience with experimental design and treatment effect analysis. You know why a significant p-value isn't the end of the conversation.
• Fluent in Python or R.
• Experience with agricultural or geospatial data. Remote sensing a plus.
• Comfortable with cloud platforms, databases, and Git.
• Can present to a room of PhDs in the morning and a grower in the afternoon. Adjust accordingly.
• Detail-oriented, skeptical in a useful way, and good on a team.
• Ag experience is an absolute must. Our knowledge runs deep. So should yours.

Why aerialPLOT

Small team. Real problems. Your work goes directly to the people deciding which products make it to market.

Salary: $70K to $130K, depending on experience and qualifications.

Fargo, ND. On-site.

Relocation assistance for individuals further than 100 miles from Fargo, ND is available through the ROOT grant from the State of North Dakota and will be included in final offers.

We get a high volume of applications. Only candidates who submit a role-specific cover letter will receive an update on their application. We know that takes real time, and we appreciate it. It helps us focus on serious applicants and actually follow up with them.