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Remote Agriculture Data Science Jobs (NOW HIRING)

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Premise Health

Data Science Analyst - Remote

The Data Science Analyst will leverage machine learning and statistical modeling to develop predictive models and deliver insights to stakeholders. Responsibilities : • Perform exploratory data ...

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Ascension

Data Science Manager

Remote Department/Specialty: Clinical and Population Health Analytics Schedule: Full time | Day ... Lead and mentor a specialized team of data scientists to build advanced AI solutions that directly ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

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Remote Agriculture Data Science information

What is remote agriculture data science?

Remote agriculture data science involves analyzing and interpreting agricultural data from a distance, often using digital tools and remote sensing technologies. Professionals in this field leverage data collected from satellites, drones, sensors, and farm management systems to provide insights that help optimize crop yields, monitor soil health, and improve resource management. Working remotely, these data scientists use statistical models, machine learning, and geographic information systems (GIS) to assist farmers and agribusinesses in making data-driven decisions. The role can include tasks such as predictive analytics, data visualization, and building decision support tools, all performed from a location outside the traditional farm or office setting.

What are the key skills and qualifications needed to thrive as a Remote Agriculture Data Scientist, and why are they important?

To thrive as a Remote Agriculture Data Scientist, you need a solid background in statistics, machine learning, agronomy, and data analysis, typically supported by a degree in data science, agriculture, or a related field. Proficiency with analytical tools like Python, R, GIS platforms, and cloud-based data management systems is commonly required. Strong problem-solving, communication, and self-motivation skills are essential for collaborating with remote teams and stakeholders. These skills enable effective interpretation of agricultural data, driving informed decisions and innovation in the sector.

How do remote agriculture data scientists typically collaborate with on-site agronomists and farm teams?

Remote agriculture data scientists often work closely with on-site agronomists and farm teams through regular virtual meetings, shared data platforms, and cloud-based tools. Communication is key; they may interpret sensor or satellite data and translate insights into actionable recommendations, which are then validated or implemented by on-the-ground staff. Building strong relationships and maintaining clear channels for feedback is essential to ensure that data-driven solutions align with real-world agricultural conditions. This collaborative approach helps bridge the gap between advanced analytics and practical farm management.
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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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Remote Agriculture Data Science jobs near you

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Texas Agricultural Experiment Station

Corpus Christi, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Job Title

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Agency

Texas A&M Agrilife Research

Department

Corpus Christi

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems.

One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.

Responsibilities:

- Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project.

- The candidate will work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture.

- Publish peer-reviewed papers and support grant writing.

- Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions.

- Publish peer-reviewed papers and support grant writing.

- work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.

- Mentor graduate students learning to conduct geospatial science/engineering, remote sensing.

- Perform other job-related duties as assigned.

Required Qualifications:

- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline.

- Relevant professional experience.

- Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR).

- Proficiency in artificial intelligence, machine learning, and geospatial data analytics.

- Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable.

- Strong written and oral communication skills, including a demonstrated ability to publish in highquality peerreviewed journals.

- Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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