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Agriculture Data Science Jobs (NOW HIRING)

Roberts Recruiting

Senior Data Scientist

Boston, MA

Analyze agricultural data to understand the impact of agronomic decisions on crop health and crop ... Partner closely with Software Development to turn Data Science products into best-in-class end-user ...

WFN Team Indus US Test Client 2

Data Analyst

Anchorage, AK · On-site

$1K - $2K/yr

Bachelor's degree in Data Science, Statistics, Agriculture, or a related field. * Proven experience in data analysis and data visualization tools such as Power BI and Tableau. * Strong proficiency in ...

WFN Team Indus US Test Client 2

Data Analyst

Manhattan, NY · On-site

$1K - $2K/yr

Bachelor's degree in Data Science, Statistics, Agriculture, or a related field. * Proven experience in data analysis and data visualization tools such as Power BI and Tableau. * Strong proficiency in ...

FARMER MAC

Data Scientist - Credit Analytics

Johnston, IA · On-site

$115K - $160K/yr

Three to seven years of professional data science, credit modeling, econometric analysis, research, or related experience, preferably in roles with exposure to commercial, agricultural, or retail ...

Tractor Zoom

Be Seen First

Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

Previous Data Science experience in the agriculture and heavy equipment industry * Strong ability to communicate technical information and develop products for a non-technical audience * A bias ...

LSU AgCenter

This hire comes at a time when LSU AgCenter and LSU A&M are focusing on strengthening research in data science and precision agriculture and there are many opportunities for collaboration across the ...

Louisiana State University

This hire comes at a time when LSU AgCenter and LSU A&M are focusing on strengthening research in data science and precision agriculture and there are many opportunities for collaboration across the ...

Louisiana Workforce Commission

This hire comes at a time when LSU AgCenter and LSU A&M are focusing on strengthening research in data science and precision agriculture and there are many opportunities for collaboration across the ...

Bunge

Principal Data Scientist

Chesterfield, MO

Responsible for leading large-scale data science initiatives from POC to production Design and ... As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with ...

Bunge

Principal Data Scientist

Chesterfield, MO · On-site

... data science initiatives from POC to production • Design and structure reusable codebase ... As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with ...

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Agriculture Data Science information

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$22.5K

$98.7K

$198.5K

How much do agriculture data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for agriculture data science in the United States is $98,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $146,000.00 per year, depending on experience, location, and employer.

What is an Agriculture Data Science job?

An Agriculture Data Science job involves applying data science techniques to agricultural data to optimize farming practices, improve crop yields, and enhance sustainability. Professionals in this field analyze data from sensors, satellite imagery, weather patterns, and soil conditions to provide actionable insights. They use machine learning, statistical modeling, and predictive analytics to help farmers and agribusinesses make data-driven decisions. This role often requires a background in agriculture, data analysis, and programming skills such as Python or R.

What are some common challenges faced by Agriculture Data Scientists?

Agriculture Data Scientists often encounter challenges such as working with incomplete or inconsistent data, integrating information from various sources (e.g., sensors, satellite imagery, weather data), and building models that account for the biological and environmental variability inherent in agriculture. Additionally, translating complex data analyses into practical insights that can be applied by agronomists or farmers requires close collaboration and clear communication. Overcoming these challenges not only strengthens analytical skills but also helps drive impactful innovation and efficiency across the agriculture sector.

What are the key skills and qualifications needed to thrive in the Agriculture Data Science position, and why are they important?

To excel in Agriculture Data Science, you need a strong background in statistics, data analysis, programming (such as Python or R), and a foundational understanding of agricultural systems, typically supported by a degree in data science, agriculture, or a related field. Familiarity with GIS software, big data platforms, machine learning tools, and certifications in data analytics or agronomy are commonly required. Excellent problem-solving, clear communication, and the ability to collaborate with multidisciplinary teams are highly valued soft skills. These competencies are crucial for transforming raw agricultural data into actionable insights that improve farm productivity and sustainability.

More about Agriculture Data Science jobs
What cities are hiring for Agriculture Data Science jobs? Cities with the most Agriculture Data Science job openings:
What are the most commonly searched types of Agriculture Data Science jobs? The most popular types of Agriculture Data Science jobs are:
What states have the most Agriculture Data Science jobs? States with the most job openings for Agriculture Data Science jobs include:
What job categories do people searching Agriculture Data Science jobs look for? The top searched job categories for Agriculture Data Science jobs are:
Agriculture Data Science jobs near you
Infographic showing various Agriculture Data Science job openings in the United States as of June 2026, with employment types broken down into 11% Internship, 67% Full Time, 11% Part Time, and 11% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $98,664 per year, or $47.4 per hour.
Senior Data Scientist

Senior Data Scientist

Roberts Recruiting

Boston, MA

Other

Posted 23 days ago

Job description

We are working to harness nature to sustainably feed the planet. We have discovered a transformational opportunity to improve global crop yield and reduce the use of agricultural chemicals and fertilizers by utilizing the core microbiome inside plants to confer material yield and crop protection benefits across a variety of crops, geographies and stresses. The challenge and opportunity for usis to gain critical first mover advantages by scaling quickly and effectively (~$1B 2020 revenue.)
The Data Scientist will enable optimal data-driven decision making and dramatically improving farmers' outcomes.
The Data Scientist will analyze and model expected crop yield under various scenarios. Using large-scale cloud and machine learning algorithms, the Data Scientist will construct data preprocessing pipelines, predictive models, optimization algorithms, and decision support systems.
Key Outcomes:
  • Collect and preprocess IoT-scale data from on-farm and remote monitoring equipment including: yield, farm treatments, irrigation, soils, satellite and drone imagery
  • Analyze agricultural data to understand the impact of agronomic decisions on crop health and crop yield.
  • Use state-of-the-art machine learning tools to understand crop yields as a function of microbiome, crop, planting conditions, soil, weather, farm treatments, and farm conditions
  • Produce compelling and clear visualizations of agronomic and statistical findings.
  • Partner closely with Software Development to turn Data Science products into best-in-class end-user applications.
Key Competencies:
  • Masters Degree + 2-5 years industry experience in a relevant field such as applied computer science, machine learning, mathematics, statistics, quantitative agronomy, environmental science, applied physics or engineering.
  • Outstanding communication skills - Outgoing and enthusiastically enjoys explaining statistical analyses and methods to customers and decision makers throughout the organization.
  • Experience in and/or eagerness to learn about agriculture, agronomy, GIS, spatial statistics, plant biology, microbiology, agricultural economics, and the plant microbiome.
  • Absolutely high fluency with R and/or Python and Bayesian MCMC tools such as JAGS or STAN, as well as conventional statistical analyses, machine learning, and GIS. Strong ability to produce lucid graphical plots, maps, and highly interactive visualizations. Experience working in various computational environments, such Linux, ec2, S3, Spark, and H2O.
  • Team player - someone who thrives working in cross functional teams throughout the organization.
  • A curious, scientific mind dedicated to teasing apart new results through careful, quantitative analysis joined with sound scientific practice.
  • Extremely strong customer focus, seeing growers and agronomists as our key end users, and grower success as our ultimate goal.
  • Easily adapts to new types of problems and questions. Flexible to different types of analysis and different stakeholders (e.g. lab science, field trials, commercial team).
  • Experience working in industry and a dedication to Data Science performed in an industrial setting.
  • Deep understanding of modern Bayesian statistics, ensemble classifiers, regression algorithms, as well as off the shelf machine learning techniques. Experience with model validation and evaluation, and data imputation.
  • Familiarity with SQL as well as NoSQL columnar databases. Experience with MILP, combinatorial optimization, metaheuristics, and other types of optimization are an added advantage.
  • Experience with agronomy or ecology work including modeling, forecasting, decision support, and optimization

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