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Part Time Agriculture Data Science Jobs (NOW HIRING)

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

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Part Time Agriculture Data Science information

What are the key skills and qualifications needed to thrive as a part-time agriculture data science professional?

To excel as a Part Time Agriculture Data Science professional, you need a solid background in statistics, data analysis, and agricultural science, often supported by a relevant degree or coursework. Familiarity with data analytics tools such as Python, R, SQL, and GIS software, as well as experience with agricultural databases, is typically required. Strong problem-solving abilities, attention to detail, and effective communication help in translating data insights for practical agricultural solutions. These skills are vital for driving data-driven decisions that enhance crop yield, resource management, and overall agricultural productivity.

How do part-time agriculture data scientists typically collaborate with farm management and field teams?

Part-time agriculture data scientists often work closely with farm management and field teams to gather and interpret data, such as crop yields, soil conditions, and weather patterns. Collaboration usually involves regular meetings or virtual check-ins to discuss data insights and tailor analysis to ongoing operations. Since the role is part-time, clear communication and effective scheduling are essential to ensure that data-driven recommendations align with the real-time needs of the agricultural team. Building strong relationships with on-site staff helps data scientists translate technical findings into actionable strategies for improving farm productivity.

What is a part-time agriculture data scientist?

A part-time agriculture data scientist is a professional who applies data analysis, statistical methods, and machine learning techniques to agricultural data, typically while working less than a standard full-time schedule. They help solve problems such as crop yield prediction, resource optimization, and disease detection by analyzing large datasets from farms, sensors, and satellites. This role often involves working with agricultural stakeholders to provide insights that support decision-making and improve efficiency. Part-time positions may offer flexibility and can be suitable for students, professionals seeking supplemental income, or those balancing multiple commitments.
More about Part Time Agriculture Data Science jobs
What are the most commonly searched types of Agriculture Data Science jobs? The most popular types of Agriculture Data Science jobs are:
What job categories do people searching Part Time Agriculture Data Science jobs look for? The top searched job categories for Part Time Agriculture Data Science jobs are:
Part Time Agriculture Data Science jobs near you
Infographic showing various Part Time 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.

Adjunct, Data Science

Monmouth University

West Long Branch, NJ • On-site

Part-time

Retirement

Re-posted 5 days ago

Job description

Monmouth University is seeking qualified candidates for an Adjunct Professor of Data Science in the Computer Science and Software Engineering department. The successful candidate will teach undergraduate and/or graduate-level courses in Data Science.
Part-time adjunct faculty members typically teach 3-6 credits per semester, with class schedules determined based on departmental needs and candidate availability. Courses are taught in person at the West Long Branch campus. Adjunct positions remain posted continuously to expand the university's pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps.
This is an in-person, on-campus, non-remote position.
For additional information about the department, please visit the Department of Computer Science and Software Engineering webpage.
Additional Application Material Required:
Monmouth University requires all applications and supporting documents to be submitted via the university's career portal. In addition to the application, candidates must upload the following documents. Applications will not be considered complete for review until all required documents are uploaded.
  1. Resume or Curriculum Vitae
  2. Cover Letter
  3. Contact Information for Three Professional References
  4. Two Letters of Recommendation

Optional Documents: Additional materials such as evidence of teaching effectiveness or student mentoring.
Special Instructions to Applicants:
We encourage candidates to include information in the cover letter that addresses their approach to teaching and their plans to advance diversity, equity, and inclusion in their position at Monmouth University.
Duties and Responsibilities:
  • Teach 3-6 credits of undergraduate and/or graduate-level Data Science courses each semester, including topics such as data analytics, machine learning, ethics and bias in AI, applications of data science, advanced data science techniques, natural language processing, deep learning, computer vision, and low-code/no-code data analysis.
  • Develop and deliver course lectures, discussions and assignments in accordance with the curriculum and learning objectives.
  • Provide time during the week to meet with students outside of class.
  • Foster a positive and inclusive learning environment conducive to student engagement and academic success.
  • Develop and administer projects and exams to evaluate student learning outcomes and provide grades in a timely manner.
  • Provide timely feedback and guidance to students to support their learning and development.

Enrichment Statement:
Monmouth University values diversity and invites applications from underrepresented groups who will enrich the teaching and service missions of the university.
Minimum Qualifications:
  • Master's degree or higher in Data Science, Artificial Intelligence, Computer Science, or a related field.
  • Demonstrated expertise in Data Science or a related discipline.
  • Experience teaching Data Science, Artificial Intelligence, or related topics at the higher-education level.
  • Excellent interpersonal, organizational and communication skills.

Preferred Qualifications:
  • Industry experience in Data Science, Artificial Intelligence, Machine Learning, or a related field.

Questions regarding this search should be directed to:
Dr. Zheng at lzheng@monmouth.edu or 732-571-4459
Note to Applicants:
Adjunct positions remain posted continuously to expand the university's pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps.
Working at Monmouth University perks:
  • Employee Assistance Program (EAP)
  • Employee Tuition Remission
  • Employee elective deferrals to TIAA, 403(b) plan
  • On campus, Fitness Center - free membership

To view a full list of benefits, visit our benefits page at: Employee Benefits Information | Human Resources | Monmouth University
Department:
Computer Science and Software Engineering
Work Schedule:
Varies
Total Weeks Per Year
14
Expected Salary
$3,700 per 3-credit graduate-level course
Union:
N/A
Job Posting Close Date
N/A
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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