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Data Analytics Professor Adjunct Jobs (NOW HIRING)

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Data Analytics Professor Adjunct information

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How much do data analytics professor adjunct jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data analytics professor adjunct in the United States is $67.56, according to ZipRecruiter salary data. Most workers in this role earn between $66.83 and $69.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Professor Adjunct, and why are they important?

To thrive as a Data Analytics Professor Adjunct, you need an advanced degree (typically a Master's or Ph.D.) in data analytics or a related field, along with deep knowledge of statistics, data modeling, and analytics methodologies. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with Learning Management Systems (LMS) and relevant teaching certifications, is often required. Exceptional communication, mentorship, and curriculum development skills help engage students and foster a collaborative learning environment. These qualifications ensure effective teaching, up-to-date instruction, and the ability to prepare students for evolving data-driven careers.

What opportunities for industry collaboration are typically available to adjunct Data Analytics Professors?

Adjunct Data Analytics Professors often have the chance to collaborate with industry partners through guest lectures, project-based learning, and mentorship programs. Many institutions encourage adjunct faculty to leverage their professional networks, bringing real-world data challenges into the classroom to enhance student learning. These collaborations not only enrich the curriculum but can also lead to opportunities for joint research, consulting projects, or student internships. Engaging with industry partners is an excellent way for adjunct professors to stay current with evolving analytics trends and expand their professional impact.

What are Data Analytics Professor Adjuncts?

Data Analytics Professor Adjuncts are part-time or non-tenure-track instructors who teach courses in data analytics at colleges or universities. They often have significant professional experience in the field and may work in industry while teaching part-time. Their role involves preparing and delivering lectures, developing course materials, assessing student performance, and staying current with advancements in data analytics. Adjunct professors provide practical insights and help bridge the gap between academic theory and real-world application for students.
More about Data Analytics Professor Adjunct jobs
What cities are hiring for Data Analytics Professor Adjunct jobs? Cities with the most Data Analytics Professor Adjunct job openings:
What states have the most Data Analytics Professor Adjunct jobs? States with the most job openings for Data Analytics Professor Adjunct jobs include:
Infographic showing various Data Analytics Professor Adjunct job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 48% Full Time, 48% Part Time, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $140,525 per year, or $67.6 per hour.
Adjunct, Data Science

Adjunct, Data Science

Monmouth University

West Long Branch, NJ โ€ข On-site

Part-time

Retirement

Posted 10 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.