Senior Agronomic Data Analyst

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Job Title: Senior Agronomic Data Analyst
Location: Arden Hills, MN, Midwest United States, USA

Company: Land O Lakes
Industry Sector: Agribusiness
Industry Type: Input Retail, Cooperative and Related Crop Services
Job Type: Full Time

Job Description: Senior Agronomic Data Analyst

This position can be done remote/virtual from anywhere in the United States.

This position will work collaboratively in the development of analytical products within the Phenotyping laboratory for proprietary STAMPs (Seed Treatment, Adjuvants, Micro-Nutrients and Plant Growth Regulators), field-based biological testing platform, plant nutrition product field-testing, and fee-for-service projects. This position will also assist in the development of a field phenomics platform using remote sensing and UAV technology. This strategy will include the creation and maintenance of long-term data solutions for data mining, storage and high-throughput data analytics. The data analyst will collaborate with Product Development Research Managers to generate and interpret data for WinField United proprietary STAMPS projects and technologies provided by industry partners and effectively communicate results to relevant stakeholders to meet timelines and goals.

Data analytics and managing work streams (50%)

Collaborate with field and controlled environment researchers to design experiments, optimize data collection protocols, and ensure data quality for product evaluation.
Create and maintain long-term data solutions within the WinField United framework for mining, storage and high-through data analytics.
Interpret and communicate results to stakeholders within Product Development to ensure technologies are properly moving through the By WinField United Process.
Experience processing RGB, multi-spectral, and hyperspectral images to plant measurements to examine plant growth and development under stress conditions.
Utilize data visualization tools effectively to develop market support collateral.
Support Winfield United biological product characterization both in-field and in controlled environments.

Method Development and Instrumentation (50%)

Design and implement automated data pipelines for image processing and analysis from field and controlled environment phenotyping data using Python, R, and cloud computing platforms.
Investigate artificial intelligence/machine learning algorithms to extract plant traits from remote sensing and UAV technology.
Create reproducible data workflows with version control and documentation
Stay abreast of advances in the agronomics field related to phenotyping analysis.

Required Experience/Knowledge:

Bachelor's degree in relevant field and 5+ years of relevant experience.
Proficiency in Python & R
Experience with business analytics platforms such as Power BI, Tableau
Understanding of agricultural inputs

Preferred:

Experience with image-based plant phenotyping, field-based remote sensing or other image-based structure characterization
Masters Preferred in Data or Computer Science
Containerization of code and applications using Docker

Must be willing to travel up 20%

$91,120-$136,680

In most cases, candidates offered employment can expect to be hired at a pay rate near the middle of our salary ranges

About Land O'Lakes, Inc.

Join us and be part of a Fortune 250, farmer- and member-owned cooperative that is reimagining the business of food. We have been named a Top Workplace by Indeed and LinkedIn, and to the TIME 100 Most Influential Companies list.

Benefits for most full-time roles include medical, dental, vision, PTO, life & disability insurance, education assistance, a 401k and a variety of well-being resources. Most part-time employees are eligible for prorated PTO, holiday pay, employee development programs, prorated education assistance, and a 401(k).

Land O'Lakes, Inc. is an Equal Opportunity Employer (EOE) M/F/Vets/Disabled. The company maintains a drug-free workforce, including post-employment substance abuse testing pursuant to a Drug and Alcohol Policy.

Neither Land O'Lakes, nor its search firms, will ever contact you and ask for confidential information over the phone or in email. If you receive a call or email like this, please do not provide the information being requested.

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Job Post Date: 05/17/25