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Freelance Agriculture Data Science Jobs (NOW HIRING)

AgZen

Senior Data Scientist

Somerville, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

PepsiCo

Agricultural Science Technician

Rhinelander, WI

$54K - $82K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

PepsiCo

Agricultural Science Technician

Rhinelander, WI

$54K - $82K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

  • Medical

  • Retirement

  • PTO

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ...

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Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ...

Bunge

Data Scientist

Chesterfield, MO · On-site

  • Medical

  • Retirement

  • PTO

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Agricultural Economics, Statistics, Computer Science, Quantitative Finance, Business Analytics, or ...

DTN (Data Transmission Network)

WI · On-site

$115 - $149/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ...

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 ...

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All JobsAgriculture Data Science JobsFreelance Agriculture Data Science Jobs

Freelance Agriculture Data Science information

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$10

$69

$94

How much do freelance agriculture data science jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for freelance agriculture data science in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is freelance agriculture data science?

Freelance agriculture data science involves independent professionals applying data analysis, machine learning, and statistical techniques to solve problems in the agriculture sector. These specialists work on projects like crop yield prediction, soil health analysis, and optimizing resource use by analyzing large datasets from farms, weather stations, and agricultural sensors. Freelancers in this field typically collaborate with agribusinesses, researchers, or technology companies to provide actionable insights and improve agricultural productivity. Their work often combines domain knowledge in agriculture with expertise in programming, data visualization, and statistical modeling.

What are the key skills and qualifications needed to thrive as a freelance agriculture data scientist?

To thrive as a Freelance Agriculture Data Scientist, you need a solid background in statistics, agronomy, and data analysis, typically supported by a degree in a related field. Proficiency with data analytics tools like Python, R, GIS software, and familiarity with agricultural databases or remote sensing technologies is essential. Strong problem-solving, communication, and project management skills help you collaborate with clients and translate complex data into actionable insights. These capabilities are crucial for delivering value-driven solutions that enhance agricultural productivity and sustainability.

What is the difference between Freelance Agriculture Data Science vs Agriculture Data Analyst?

AspectFreelance Agriculture Data ScienceAgriculture Data Analyst
CredentialsTypically requires a degree in data science, agriculture, or related fields; certifications in data analysis or machine learning are commonUsually holds a degree in agriculture, environmental science, or data analysis; certifications in data tools are beneficial
Work EnvironmentIndependent, remote, project-based work for multiple clientsOften employed by agricultural companies or research institutions, working on-site or remotely
Employer & Industry UsageFreelance roles are common in consulting, research, and tech startups within agricultureTypically employed by farms, agribusinesses, or government agencies

Freelance Agriculture Data Science involves independent, project-based work focusing on advanced data modeling and machine learning, while Agriculture Data Analysts usually work within organizations analyzing agricultural data to inform decisions. Both roles require similar educational backgrounds but differ mainly in work setting and employment type.

What are some common challenges faced by freelance agriculture data scientists when working with diverse clients?

Freelance agriculture data scientists often encounter challenges such as accessing high-quality, standardized datasets from clients, adapting to varying project scopes, and communicating technical findings to stakeholders with differing levels of data literacy. Managing these challenges requires strong project management skills, the ability to quickly understand unique agricultural contexts, and effective communication to ensure insights are actionable. Flexibility and proactive client engagement are key to ensuring project success and client satisfaction.
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What are the most commonly searched types of Agriculture Data Science jobs?

The most popular types of Agriculture Data Science jobs are:

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Freelance Agriculture Data Science jobs near you
Infographic showing various Freelance Agriculture Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Senior Data Scientist

AgZen

Somerville, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 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.

Apply