Soil Data Scientist information
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$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
How much do soil data scientist jobs pay per year?
As of Sep 10, 2026, the average yearly pay for soil data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
Soil Data Scientists are professionals who analyze and interpret large sets of soil-related data to help improve agricultural practices, environmental management, and land use planning. They use advanced analytical techniques, including machine learning and statistical modeling, to extract insights from soil samples, satellite imagery, and other sources. Their work supports decision-making in areas such as crop yield optimization, soil health assessment, and sustainable land management. Soil Data Scientists often collaborate with agronomists, ecologists, and farmers to develop data-driven solutions for real-world challenges.
Soil Data Scientists frequently work alongside agronomists and field technicians to ensure that data collection and analysis align with real-world agricultural needs. Collaboration often involves designing sampling strategies, interpreting field data, and translating complex soil analytics into actionable insights for crop management. Effective communication skills are essential, as Soil Data Scientists must bridge the gap between data models and practical field recommendations, ensuring that their analyses drive meaningful improvements in soil health and productivity.
To thrive as a Soil Data Scientist, you need a solid background in soil science, data analysis, and statistical modeling, often supported by a degree in environmental science, agronomy, or a related field. Familiarity with programming languages (such as Python or R), GIS software, and machine learning platforms, as well as experience with soil databases, are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to diverse stakeholders are critical soft skills. These competencies are essential for accurately analyzing soil data, informing land management decisions, and advancing sustainable agricultural practices.
What cities are hiring for Soil Data Scientist jobs?
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What states have the most Soil Data Scientist jobs?
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