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Data Science Professor Jobs in Mississippi (NOW HIRING)

Upenn

$61K - $65K/yr

... professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 ... Ability to analyze data requirements, maintain database dictionaries, and integration of systems ...

University of Pennsylvania

$61K - $65K/yr

... professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 ... Ability to analyze data requirements, maintain database dictionaries, and integration of systems ...

All JobsData Science Professor JobsData Science Professor Jobs in Mississippi

Data Science Professor information

What does a Data Science Professor do?

A Data Science Professor teaches courses on data science, machine learning, and statistics at a university or college. They conduct research in areas like artificial intelligence, big data, or analytics while mentoring students in academic and professional development. Their role also includes publishing research papers, securing grants, and collaborating with industry partners to advance data science education and innovation.

What are the key skills and qualifications needed to thrive as a Data Science Professor?

To thrive as a Data Science Professor, you need a robust background in statistics, machine learning, and programming, typically supported by a Ph.D. in data science, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and big data platforms, along with experience in publishing research, is highly valued. Strong communication, mentorship, and organizational skills help in delivering effective lectures, guiding student projects, and collaborating with peers. These abilities are critical for providing high-quality education, advancing research, and preparing students for real-world data science careers.

What are popular job titles related to Data Science Professor jobs in Mississippi?

For Data Science Professor jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Data Science Professor jobs in Mississippi look for?

The top searched job categories for Data Science Professor jobs in Mississippi are:

Data Science Professor jobs near you
Infographic showing various Data Science Professor job openings in Mississippi as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Visiting Assistant Professor

Itta Bena, MS • On-site

Mississippi Valley State University
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about Mississippi Valley State Universityexternal

Full-time

Re-posted 18 days ago

Job description

Posting Details
Position Information
Position Title
Visiting Assistant Professor
Job Description
The Department of Natural Sciences and Environmental health department at Mississippi Valley State University invites applications for a full-time Visiting Assistant Professor position in Artificial Intelligence and Machine Learning with applications in Environmental Health Systems. The successful candidate will teach graduate-level courses in AI and machine learning, with emphasis on environmental data, environmental health, and Environmental Public Health applications and undergraduate courses as needed.
The department seeks a committed educator and scholar who can support graduate instruction, mentor graduate and undergraduate students, and contribute to interdisciplinary teaching and research in AI, environmental science, environmental health, and public health systems.
Required Qualifications
Applicants must have:
  • A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Environmental Health, Environmental Science, Environmental Public Health, Computational Science, or a closely related discipline by the start date of appointment.
  • Expertise in AI/ML applications related to environmental data, environmental health, or environmental systems.
  • Demonstrated ability or strong potential to teach graduate courses in AI, machine learning, and environmental health applications.
  • Evidence of scholarly potential and the ability to engage students in research and applied learning experiences.
  • Strong communication, organizational, and interpersonal skills.
  • Commitment to excellence in teaching, advising, mentoring, research, and service.

Preferred Qualifications
Preference will be given to candidates who have:
  • Experience teaching or developing courses in AI, machine learning, environmental data analysis, environmental health, Environmental Public Health, or related fields.
  • Ability to teach additional AI and machine learning courses in the graduate program.
  • Research experience involving AI/ML applications in environmental health, environmental monitoring, environmental risk assessment, public health data, or related systems.
  • Postdoctoral, industry, or applied research experience in AI, environmental health, or environmental applications.
  • Commitment to mentoring and supporting a diverse student population.
  • Experience involving graduate or undergraduate students in research or applied projects.

Physical Demands
Posting Detail Information
Posting Number
SF901P
Open Date
06/11/2026
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
Application Materials
Applicants should submit the following:
  • Curriculum vitae.
  • One combined document that includes:
    • Cover letter describing teaching and research interests.
    • Statement of teaching philosophy.
    • Statement of research interests, including plans for student involvement.
  • All graduate transcripts (unofficial transcripts are acceptable for initial review).
  • Names and contact information for three professional references.
  • Three professional reference letters.

Equal Opportunity Statement
The university is an Equal Opportunity Employer and encourages applications from candidates who are committed to teaching, mentoring, research, and supporting students from diverse backgrounds.

Apply