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Data Professor information

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$58K

$114.8K

$189K

How much do data professor jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data professor in the United States is $114,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $121,500.00 per year, depending on experience, location, and employer.

How does a data professor typically balance research, teaching, and mentoring responsibilities within a university setting?

A Data Professor usually divides their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these duties can be challenging, especially when research projects and teaching schedules overlap. Effective time management and collaboration with colleagues are essential, as professors often work within interdisciplinary teams and supervise student research. Many universities also encourage Data Professors to contribute to curriculum development and participate in departmental committees, providing further opportunities for professional growth.

What is the difference between Data Professor vs Data Analyst?

AspectData ProfessorData Analyst
Required CredentialsTypically a master's or PhD in data science, statistics, or related fieldsBachelor's degree in data science, statistics, or related fields; certifications helpful
Work EnvironmentAcademic or research institutions, specialized training programsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageEducational institutions, training companies, research organizationsCorporations, marketing agencies, finance, healthcare
Common Search & Comparison IntentUnderstanding advanced data education rolesAnalyzing data for business insights

The Data Professor typically focuses on advanced education, research, and training in data science, often requiring higher academic credentials. In contrast, a Data Analyst primarily works on interpreting data to support business decisions. Both roles involve data handling but differ in scope, environment, and expertise level.

What is a data professor?

A Data Professor is an expert in data science and analytics who typically works in academia or industry, teaching and mentoring others about data analysis, machine learning, and statistical methods. They often conduct research, create educational content, and provide guidance on best practices for handling and interpreting data. Data Professors may also work on developing new data-driven methodologies and tools, helping organizations or students understand and utilize data effectively.

What are the key skills and qualifications needed to thrive as a data professor?

To thrive as a Data Professor, you need deep expertise in statistics, data science, and related fields, typically supported by a PhD and a strong record of academic research. Familiarity with tools like Python, R, SQL, data visualization platforms, and learning management systems is essential. Exceptional communication, mentorship, and curriculum development skills help engage students and foster a collaborative learning environment. These competencies ensure effective teaching, impactful research, and the advancement of data literacy among students.
More about Data Professor jobs
What cities are hiring for Data Professor jobs? Cities with the most Data Professor job openings:
What states have the most Data Professor jobs? States with the most job openings for Data Professor jobs include:
Infographic showing various Data Professor job openings in the United States as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,792 per year, or $55.2 per hour.

Teaching Assistant Professor - School of Mathematical & Data Sciences

West Virginia University

Morgantown, WV • On-site

Other

This job post has expired today. Applications are no longer accepted.


West Virginia University rating

6.9

Company rating: 6.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

458th of 618 rated colleges and universities


Job description

Description

The School of Mathematical and Data Sciences at West Virginia University invites applications for two full-time, 9-month Teaching Assistant Professors. The preferred start date is January 2, 2027. Teaching Assistant Professor appointments have renewable terms of up to three years, with no limit on the number of terms. These positions are eligible for promotion (e.g., from Teaching Assistant Professor to Teaching Associate Professor, etc.); however, promotion to senior ranks is not a requirement for institutional commitment and career stability.

The School of Mathematical and Data Sciences is a collaborative academic unit within the Eberly College of Arts and Sciences at West Virginia University. The School offers undergraduate degree programs in Mathematics and Data Science and provides foundational mathematics instruction that supports students across numerous STEM disciplines and other academic programs throughout the University. Faculty are committed to excellence in teaching, student success, curriculum innovation, undergraduate research, and scholarly activity within a collegial and supportive environment. As part of an R1 research university, the School is investing in its future through strategic faculty hiring, continued program development, and expanded interdisciplinary collaborations. Teaching faculty are valued members of the School and play a central role in curriculum development, coordinated instruction, assessment, and initiatives that promote student success.

Responsibilities:

The normal teaching load for each position is 4-4. The successful candidates will teach undergraduate courses that support the School's instructional mission. Responsibilities will include, but are not limited to, the following:

  • Teaching high-enrollment undergraduate mathematics courses, including gateway and service courses that support STEM disciplines across the University.
  • Contributing to curriculum development and continuous improvement of undergraduate mathematics instruction.
  • Participating in course coordination, assessment, and student success initiatives, as appropriate.
  • Advising and mentoring undergraduate students.
  • Participating in School governance, outreach, and professional service.
  • Supporting innovative instructional practices and evidence-based teaching.
Qualifications

Professional Qualifications:

The successful candidates must have a Ph.D. in Mathematics or a closely related field. Late-stage ABD applicants will be considered; completion of the doctoral degree by the hire date is required.

Candidates must demonstrate: 1) potential for excellence in teaching high-enrollment, multi-section undergraduate courses, particularly gateway and service courses at or below the calculus sequence; 2) ability to use instructional technologies, including Blackboard Learning Management System, student response systems (e.g. iClicker), online graphing utilities (e.g. Desmos), and courseware packages (e.g. ALEKS, WebAssign, and MyLab Math) to support instruction; 3) ability to work effectively with colleagues in a collaborative, student-centered teaching environment; 4) an active interest in improving the effectiveness of teaching methods, especially to promote student success in gateway mathematics courses and support the success of at-risk student populations; 5) evidence of outstanding teaching, advising and mentoring; excellent written and oral communication skills; excellent interpersonal skills; 6) potential to contribute to curriculum development, assessment, instructional innovation, and continued professional development related to undergraduate education.

Application:

To apply, please visit https://careers.wvu.edu/career-opportunities and upload the following as a single PDF document: (1) a curriculum vitae; 2) a cover letter that includes a teaching statement; and 3) a list of three references with complete contact information. Candidates who are invited for an on-campus interviews will be asked for letters of recommendation and may be asked for additional materials at a later date. Review of applications will begin on September 15 and will continue until the position is filled. For additional information, please contact:

Charis Tsikkou
Interim Director, School of Mathematical and Data Sciences
Co-Chair, Search Committee
Email: chtsikkou@mail.wvu.edu

Renee LaRue
Associate Director, Institute of Math Learning
Co-Chair, Search Committee
Email: renee.larue@mail.wvu.edu

Morgantown, WV is a growing university city. The area offers abundant outdoor recreation and the cultural opportunities of a college town. It is within easy driving distance of Pittsburgh, PA (70 mi) and is within a day's driving distance to Washington DC and Columbus, OH (200 mi).

West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.

From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.

At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values - service, curiosity, respect, accountability and appreciation - unite us as Mountaineers.

Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.

West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.


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