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Python R Agriculture Jobs (NOW HIRING)

Data Analyst, Agriculture, PowerBI, Excel Job Duties: * Review and analyze large datasets related ... Python or R Background in tractors, trucks, or heavy machinery.

Bachelor's degree with work-related experience in agriculture, supply chain, manufacturing, or ... g., Python, R); * Valid Drivers License. In order to be eligible to drive a company car, your ...

Bachelor's degree with work-related experience in agriculture, supply chain, manufacturing, or ... e.g., Python, R); Valid Drivers License. In order to be eligible to drive a company car, your ...

$78K - $117K/yr

Bachelor's degree with work-related experience in agriculture, supply chain, manufacturing, or ... e.g., Python, R); Valid Drivers License. In order to be eligible to drive a company car, your ...

Bachelor's degree with work-related experience in agriculture, supply chain, manufacturing, or ... g., Python, R); * Valid Drivers License. In order to be eligible to drive a company car, your ...

The successful candidate will play a central role in analyzing agricultural and natural resource ... Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript ...

The successful candidate will play a central role in analyzing agricultural and natural resource ... Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript ...

... agricultural finance, or production economics Experience with statistical software (R, Python, Stata, or similar) Experience with data visualization and decision-support tools (e.g., R Shiny, Power ...

... agricultural finance, or production economics • Experience with statistical software (R, Python, Stata, or similar) • Experience with data visualization and decision-support tools (e.g., R Shiny ...

Postdoctoral Fellow

Moscow, ID · On-site

$42K - $57K/yr

... Agricultural & Life Sciences Department Soils and Water Systems Location Moscow Posting Context ... Proficiency in scientific programming languages (e.g., Python, R) and geospatial tools (e.g ...

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Python R Agriculture information

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How much do python r agriculture jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python r agriculture in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python/R Agriculture Data Analyst, and why are they important?

To thrive as a Python/R Agriculture Data Analyst, you need strong analytical skills, experience with data analysis in agriculture, and proficiency in Python and R programming, often supported by a degree in data science, agriculture, or a related field. Familiarity with data visualization tools (e.g., Tableau), geographic information systems (GIS), and statistical modeling software is typically required. Excellent problem-solving abilities, communication skills, and attention to detail are key soft skills for translating complex data into actionable agricultural insights. These skills are crucial for driving data-informed decisions that improve crop yields, sustainability, and operational efficiency in the agricultural sector.

How do professionals in a Python/R Agriculture role typically collaborate with agronomists and field specialists to develop data-driven solutions?

In a Python/R Agriculture role, you will frequently work alongside agronomists and field specialists to translate real-world agricultural challenges into actionable data projects. Collaboration usually involves gathering field data, understanding domain-specific needs, and developing analytical or predictive models using Python and R. Regular meetings, shared digital platforms, and iterative feedback loops are common, ensuring technical solutions are both practical and aligned with field realities. This teamwork not only advances your technical skills but also deepens your understanding of agricultural practices, making your contributions more impactful.

What are Python R Agriculture jobs?

Python R Agriculture jobs refer to roles that use the programming languages Python and R to analyze and manage agricultural data. Professionals in these positions typically work on tasks such as crop modeling, yield prediction, soil analysis, and farm management by leveraging statistical and machine learning techniques. They help improve agricultural productivity and sustainability by interpreting large datasets and providing actionable insights to farmers, researchers, and agribusinesses. These roles are often found in research institutes, agri-tech companies, and governmental organizations focused on agriculture.
Infographic showing various Python R Agriculture job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Part Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Data Analyst / Management - biotech

Data Analyst / Management - biotech

Talentry LLC

San Diego, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Opportunity

Data Analyst - biotech Direct Hire. 65-80k San Diego, CA Talentry is looking for a Data Specialist who can support data analytic product development while supporting the product development teams across a broad variety of database applications for analytics focused on agricultural data (plants). The right Data Analyst/Manager will help to ensure that the data is clean, easy to access, and integrated with workflows. This may also include data visualization, reporting, analyses, transformation, etc.

Requirements: The right person for this role will have a BS in Computer Science, Biology, Plant Studies, or similar. He or she will have SQL, Python, and/or R experience. Data management, collection, analysis required. Design of experiment experience. Agricultural/botany/plant research is required. Excellent communication and documentation skills. Positive attitude and work ethic.

Benefits: Full benefits