Research Agronomist – Data & Modeling

Pivot Bio

Minnetonka, MN, United States
On-site
Spatial analysis using python
Remote sensing data feature engineering
Machine learning model development
This role operates at the intersection of agronomic research, spatial analytics, and product innovation, transforming large geospatial datasets into actionable insights that shape research direction, product strategy, and operational decisions

Job Summary

  • This role operates at the intersection of agronomic research, spatial analytics, and product innovation, transforming large geospatial datasets into actionable insights that shape research direction, product strategy, and operational decisions.
  • The Research Agronomist – Data & Modeling will analyze data, shape decisions, design new analytical approaches, and help elevate how we use data across the organization.
  • This position will strengthen analytical capability to directly drive Pivot Bio’s product innovation pipeline and research strategy.

Matching Summary

This role operates at the intersection of agronomic research, spatial analytics, and product innovation, transforming large geospatial datasets into actionable insights that shape research direction, product strategy, and operational decisions.

Skills & Requirements

Must-have

  • Spatial analysis using Python
  • Remote sensing data feature engineering
  • Machine learning model development
  • Reproducible research pipelines
  • Data transformation and insight generation

Nice-to-have

  • Operates in ambiguity
  • Independently driving high value work
  • Statistical grounding
  • Advanced computational skills

Key Requirements

  • Experience with Python, QGIS, and/or ESRI tools
  • Experience with Databricks and AWS platforms
  • Experience with SQL

Work Rights

Not specified

Tailored Resume

Cover Letter