Senior Digital Agronomist

Aerialplot

Fargo (ND)

On-site

USD 70,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Relocation assistance (ROOT grant)

Job summary

Aerialplot in Fargo, ND is seeking a data scientist to turn drone imagery and field data into digital phenotypes and growth curves, applying spatial analysis and ML where appropriate.

You will support client readouts, explain what the data says, and serve as the agronomy data science expert across the team, helping validate methodologies and scale analytics in aerialFARMS.

Qualifications

  • 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.
  • Fluent in Python or R.
  • Experience with agricultural or geospatial data; remote sensing a plus.
  • Comfortable with cloud platforms, databases, and Git.
  • Able to present to PhDs in the morning and a grower in the afternoon.
  • Detail-oriented, skeptical in a useful way, and a good team player.
  • Ag industry experience is an absolute must.

Responsibilities

  • Build the models. Turn drone imagery and field data into digital phenotypes, growth curves, and treatment effect estimates.
  • Support client reviews. Explain what the data says, what it doesn't, and why.
  • Be the agronomy data science expert in the building and help validate methodologies.
  • Clean and structure datasets, build dashboards in aerialFARMS, and scale analytical workflows.

Skills

Python
R
Experimental design
Data analysis
Git

Education

Master's or PhD in Statistics
Master's or PhD in Data Science
Master's or PhD in Agronomy
Master's or PhD in Crop Science
Master's or PhD in Agricultural Engineering

Tools

Cloud platforms
Databases

Job description

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 industry 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.



  • #AgTech #DataScience #Agronomy #PrecisionAg #Hiring

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