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Agriculture Data Jobs (NOW HIRING)

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 ...

PIPESTONE

Swine Production Records Manager

Luverne, MN · On-site

$70K - $80K/yr

Pipestone, MN Salary: $70,000-$80,000 (Depending on Experience) Are you passionate about agriculture, data analysis, and supporting producers in achieving success? PIPESTONE is seeking a Swine ...

PIPESTONE

Swine Production Records Manager

Pipestone, MN · On-site

$70K - $80K/yr

Pipestone, MN Salary: $70,000-$80,000 (Depending on Experience) Are you passionate about agriculture, data analysis, and supporting producers in achieving success? PIPESTONE is seeking a Swine ...

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Agriculture Data information

What is an agriculture data job?

Agriculture data jobs involve collecting, analyzing, and interpreting data related to farming and food production. Professionals in this field use technologies such as sensors, satellites, and software tools to monitor crop health, soil conditions, weather patterns, and livestock. Their work helps farmers make informed decisions to improve yields, reduce costs, and enhance sustainability. Roles can include data analysts, agronomists, and precision agriculture specialists, all working to optimize agricultural processes through data-driven insights.

What are the key skills and qualifications needed to thrive as an agriculture data analyst?

To thrive as an Agriculture Data Analyst, you need a strong background in data analysis, statistics, and agricultural science, often supported by a relevant degree. Familiarity with data analytics tools such as Python, R, GIS software, and experience with databases and precision agriculture systems is typically required. Critical thinking, effective communication, and problem-solving abilities are crucial soft skills for interpreting data and collaborating with stakeholders. These skills are essential for turning complex data into actionable insights that improve agricultural productivity and sustainability.

How do agriculture data professionals collaborate with farm managers and field staff to ensure accurate data collection?

Agriculture data professionals often work closely with farm managers and field staff to design data collection protocols that fit seamlessly into daily operations. They may provide training on using digital tools or sensors, clarify data requirements, and troubleshoot technical issues on-site. Regular communication is key to ensuring data accuracy and addressing any challenges quickly. This collaborative approach helps bridge the gap between technology and practical farm management, leading to more reliable and actionable insights.

What is the difference between Agriculture Data vs Agriculture Analyst?

AspectAgriculture DataAgriculture Analyst
Required CredentialsDegree in Agriculture, Data Science, or related fieldsDegree in Agriculture, Economics, or related fields
Work EnvironmentData collection, analysis, and management in agricultural settingsFieldwork, data interpretation, and reporting in agriculture
Industry UsageFocuses on data systems, databases, and data-driven decision makingFocuses on analyzing agricultural data to provide insights and recommendations

While both roles involve working with agricultural information, Agriculture Data primarily focuses on managing and analyzing agricultural datasets, whereas Agriculture Analysts interpret this data to support decision-making in farming practices, policy, or business strategies.

More about Agriculture Data jobs

What states have the most Agriculture Data jobs?

States with the most job openings for Agriculture Data jobs include:

What job categories do people searching Agriculture Data jobs look for?

The top searched job categories for Agriculture Data jobs are:

Agriculture Data jobs near you
Infographic showing various Agriculture Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

247Hire

Austin, TX • On-site

$90 - $130/hr

Other

Posted 14 days ago

Job description

Responsibilities

You will:



  • Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.

  • Work with high resolution machine and agronomic data in the development and testing of predictive models.

  • 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 define successful customer outcomes.

  • Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.


Qualifications

  • Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.

  • Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc.

  • Experience with Visualization tools such as Tableau, Kepler.gl, etc.

  • Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.

  • Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.

  • Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.


What makes candidates stand-out

  • Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures.

  • Experience with remote sensing, GIS tools, and satellite imagery analysis.

  • Experience with CVML

  • Experience with advanced AI techniques and tools.

  • Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.

  • Familiarity with Distributed Datasets

  • Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.

  • Additional experience with other languages such as Java, JavaScript, Scala, etc.

  • Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.

  • Experience with model validation, measuring model bias, measuring model drift, etc.

  • Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.

  • Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.

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About 247Hire

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Oak Brook, IL, US

Year founded

2002

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