Senior Agronomic Data Analyst

Land O'Lakes, Inc.; United States; Remote; USD 91,000 - 137,000; Full time

Job summary

A leading company seeks a Senior Agronomic Data Analyst to develop analytical products and collaborate on innovative projects. This remote role involves data management, method development, and utilizing advanced technologies like AI and remote sensing. Join a top workplace recognized for its commitment to agriculture and community.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

PTO

Life & Disability Insurance

Education Assistance

401k

Well-being Resources

Qualifications

• 5+ years of experience in a relevant field.
• Proficiency in Python and R.

Responsibilities

• Collaborate on data analytics and manage work streams.
• Design and implement automated data pipelines.

Skills

Python

R

Data Visualization

Business Analytics

Education

Bachelor’s degree

Master’s degree in Data or Computer Science

Tools

Power BI

Tableau

Docker

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. It will also assist in developing a field phenomics platform using remote sensing and UAV technology. The role includes creating and maintaining long-term data solutions for data mining, storage, and high-throughput data analytics. The analyst will collaborate with Product Development Research Managers to generate and interpret data for WinField United proprietary projects and technologies, and effectively communicate results to stakeholders to meet timelines and goals.

Responsibilities include:

1. 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.
• Create and maintain long-term data solutions within the WinField United framework for mining, storage, and high-throughput data analytics.
• Interpret and communicate results to stakeholders within Product Development to facilitate technology progression.
• Process RGB, multi-spectral, and hyperspectral images to analyze plant growth and development under stress conditions.
• Utilize data visualization tools to develop market support collateral.
• Support biological product characterization in-field and in controlled environments.

1. Method Development and Instrumentation (50%)

• Design and implement automated data pipelines for image processing and analysis using Python, R, and cloud platforms.
• Investigate AI/machine learning algorithms to extract plant traits from remote sensing and UAV data.
• Create reproducible workflows with version control and documentation.
• Stay updated on advancements in phenotyping analysis.

Minimum Qualifications:

• Bachelor’s degree in relevant field with 5+ years of experience.
• Proficiency in Python and R.
• Experience with business analytics platforms like Power BI and Tableau.
• Understanding of agricultural inputs.

Preferred Qualifications:

• Experience with image-based plant phenotyping, remote sensing, or structure characterization.
• Master’s degree in Data or Computer Science preferred.
• Experience with Docker containerization.

Willingness to travel up to 20%.

Salary range: $91,120 - $136,680.

About Land O'Lakes, Inc.

Join a Fortune 250, farmer- and member-owned cooperative reimagining the food business. Recognized as a Top Workplace and on the TIME 100 Most Influential Companies list.

Benefits include medical, dental, vision, PTO, life & disability insurance, education assistance, 401k, and well-being resources. Part-time employees may receive prorated benefits.

Land O'Lakes, Inc. is an Equal Opportunity Employer (EOE) M/F/Vets/Disabled and maintains a drug-free workforce.

Be cautious of scams: Land O’Lakes will never ask for confidential information via phone or email.