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Agriculture Data Science Jobs (NOW HIRING)

AgZen

Senior Data Scientist

Somerville, MA · On-site

AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT ... MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or ...

PepsiCo

Agricultural Science Technician

Rhinelander, WI · On-site

$54K - $82K/yr

This Agricultural Science Technician is responsible for assisting the trialing programs, leading ... Relevant experience in an active breeding/trialing program, agriculture, data analysis, or ...

Agzen

Senior Data Scientist

Somerville, MA · On-site

$150 - $180/hr

... science. If you thrive on tackling genuinely novel challenges and shipping quickly, you\'ll fit ... AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT ...

DTN (Data Transmission Network)

WI · On-site

$115 - $149/hr

From agriculture to energy to weather intelligence, our proprietary Operational Decisioning ... You will work closely with Product, Engineering, Design, Data Science, and Commercial teams to ...

New

247Hire

Data Scientist

Austin, TX · On-site

$90 - $130/hr

Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data. * Define, quantify, and analyze Key Performance Indicators that ...

New

John Deere

Staff Data Scientist

Preferred : • PhD in Statistics, Data Science, Computer Science, Applied Mathematics, Engineering, Agriculture-related fields, or another quantitative discipline. • Deep experience with causal ...

Simplot Company

Data Scientist III

Boise, ID · On-site

$110 - $165/hr

Simplot is a family-owned, privately held global food and agriculture company headquartered in ... Participate as a member of a data science team. May provide technical leadership for small project ...

New

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 ...

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 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 ...

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Agriculture Data Science information

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How much do agriculture data science jobs pay per year?

As of Aug 7, 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 agriculture data science, 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,664 per year, or $47.4 per hour.

Senior Data Scientist

AgZen

Somerville, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

About AgZen:
AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT research and focused on one problem: making crop spraying more efficient. Our flagship product, RealCoverage, is the world's first system that measures and controls droplet coverage at the leaf level, giving growers real-time visibility into spray performance and cutting chemical and water use by up to 50% without sacrificing yield.
We are a small, technically deep team working at the intersection of fluid mechanics, computer vision, AI, and real agricultural environments. If you want to build technology with measurable impact on how the world grows food, this is the place to do it.
About the Role
We are looking for a sharp, tenacious, and thorough Senior Data Scientist to join our team. As part of the the perception team, you'll be responsible for uncovering patterns from crop protection data collected from RealCoverage units installed on sprayers all around the world. Along with being a key player in our ML team, you will design dashboards and reports and develop a data-driven recommendation engine that enables further agricultural optimization. This role will be an essential bridge between AgZen's customer success and measurement groups. Strong communication, flexibility, teamwork, the desire to take on different responsibilities and own them will all be essential skills for a successful applicant.
This role is located in Somerville, MA (Boston area) with work required to be in-person.
What You'll Do
  • Perform historical data analysis of spray applications by identifying patterns and analyzing the impact of key factors including input parameters, rates, mixtures, agricultural practices, and environmental conditions
  • Apply advanced statistical, machine learning, forecasting, optimization, and experimentation methodologies to solve complex agricultural data challenges
  • Architect and operationalize machine learning solutions including AgZen's RealCoverage Recommendation Engine
  • Build tooling and support non-technical domain experts in understanding perception pipeline performance and identifying opportunities for pipeline improvement
  • Drive data-centric ML model improvements to achieve critical AgZen milestones
  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Contribute to an organization wide data ontology and class structure for perception models
  • Collaborate closely with cross-functional teams of software engineers, machine learning scientists, product specialists, and researchers to design, build, and maintain robust data pipelines grounded in sound data organization, domain knowledge, and careful analysis
  • Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators

What We're Looking For
Required:
  • MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or BS with equivalent work experience)
  • Proficient using data query languages (SQL/postgreSQL) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis, including experience making data-driven decisions from physical sensor data
  • Proven experience in the use of the main data-science, analytics, modeling and visualization Python libraries, including machine learning and deep learning
  • Strong data-centric ML development, careful data curation, and the ability to quickly develop agricultural domain expertise
  • Creative, naturally curious, and willing to take intellectual risks
  • Adaptability to different business challenges and data types / sources and to learn and utilize a range of different analytical tools and methodologies
  • Analytical problem-solving skills with innovative thinking, while effectively collaborating across diverse teams and managing multiple priorities in a multicultural scientific environment

Preferred:
  • Experience with the field of agriculture or related fields such as environmental or life sciences
  • Knowledge of interfacial science, crop science and/or fluid dynamics
  • Experience with data science based on real-world physical sensors data
  • Experience with vision-based ML
  • Prior experience in developing data-driven customer facing recommendation system
  • Experience creating intuitive data visualization tools that make complex data approachable for non-technical users
  • Prior experience in developing machine-learning models relevant to biological or crop protection outcomes
  • Advanced scientific Python (NumPy, Pandas, scikit-learn) and hands-on experience with PyTorch and/or TensorFlow, including training and deploying neural networks
  • Hands-on experience leveraging generative AI approaches for data exploration, model development, or research acceleration

What We Offer
  • The opportunity to make an immediate and visible impact in a fast-growing company
  • Early-employee equity
  • 401(k) with employer matching at 6 months of employment
  • 6 weeks of PTO per calendar year
  • 12 paid holidays
  • Medical, Dental and Vision insurance

The salary range for this position is $150,000 - $180,000 depending on skills and qualifications evaluated on a per candidate basis.

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