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Data Professor Jobs in California (NOW HIRING)

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Data Professor information

See California salary details

$57.2K

$113.3K

$186.5K

How much do data professor jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data professor in California is $113,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $119,900.00 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, and why are they important?

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.
Infographic showing various Data Professor job openings in California as of July 2026, with employment types broken down into 85% Full Time, and 15% Temporary. Highlights an 100% In-person job distribution, with an average salary of $113,289 per year, or $54.5 per hour.

Assistant Teaching Professor in Information Systems & Analytics

Santa Clara University

Santa Clara, CA โ€ข On-site

$101K - $112K/yr

Full-time

Re-posted 7 days ago


Job description

Position Title:
Assistant Teaching Professor in Information Systems & Analytics
Position Type:
Fixed Term (Fixed Term)
Salary Range:
$101,334 - $112,642
Purpose:
Overview:
The Department of Information Systems and Analytics (ISA) in the Leavey School of Business at Santa Clara University seeks applications for a full-time Assistant Teaching Professor (full-time, non-tenure track position with subsequent renewable three-year contracts) beginning in Fall 2026.
Santa Clara University and the Leavey School of Business have a long tradition of teaching excellence. The ideal candidate will possess expertise in information systems, business analytics, data science, and related fields.
The successful applicant is expected to teach undergraduate and graduate courses offered by the ISA Department.
The position duties include teaching/advising (70%), service (15%), and professional activity (15%). The expected teaching load is seven undergraduate courses over three academic quarters (Fall, Winter, and Spring). Assistant Teaching Professors are initially appointed for a three-year term. Reappointment to subsequent three-year terms depends on the availability of funds, the persistence of programmatic need, and superior teaching, service, and professional activity. Promotion to Associate Teaching Professor and then to Teaching Professor is possible under the terms of the Collective Bargaining Agreement.
Responsibilities of Assistant Teaching Professors:
Faculty responsibilities are specified by the Santa Clara University Faculty Handbook (sec. 3.6) and the Collective Bargaining Agreement. Duties include, but are not limited to, the following:
Teaching and Advising (70%)
  • Teach a 7-course load equivalent per academic year.
  • Fulfill all responsibilities associated with assigned courses, including:
  • Conducting and appearing at all assigned class meetings in a timely and prepared manner that demonstrates a command of the discipline and skill in presenting the concepts and methods effectively;
  • Assigning and evaluating student work, projects, and exams that align with course or core learning objectives and providing timely feedback to students;
  • Assigning and submitting student grades that are appropriate, accurate, and fair measures of student performance to the Office of the Registrar by the designated deadline;
  • Providing weekly on-campus office hours for consultation outside of class;
  • Being responsive to student concerns in a timely manner;
  • Conducting and submitting course assessments as required by the School;
  • Participating in the assessment of student learning for courses in the Department.
  • Fulfilling other instructional or academic duties as may be assigned by the Dean or the Department Chair.

Service (15%)
Assistant Teaching Professors are expected to provide suitable service to the Department, University, profession, and/or community. Service is work other than teaching and professional activity that fosters and advances the missions and goals of the department, the college or school, or the University. It may include peer observation performed for annual review, serving on committees, participating in professional organizations and activities, or providing support for department and campus events. It may also include service to the profession, such as participation on committees of a professional organization, and service to the community performed in virtue of a Faculty member's professional expertise or association with the University.
Professional Activities (15%)
Professional activity for non-tenure-track faculty on the Teaching Professor track refers to scholarly or creative work, professional practice, or other active engagement in a discipline or field that enables a Faculty member to remain current in that area. Examples of professional activity include attending or presenting at conferences, publishing occasional works that contribute to scholarship or pedagogy in the field, and practicing in a professional field.
Required Qualifications:
The following is required of all candidates:
  • A Ph.D. or terminal degree in Business Analytics, Operations Management, Operations Research, Information Systems, Computer Science, Data Science, or a related discipline (degree must be earned by time of appointment).
  • Demonstrated ability or potential for excellence in teaching undergraduate and graduate courses in information systems and analytics.
  • Strong communication and interpersonal skills.

Preferred Qualifications:
  • Evidence of teaching effectiveness
  • Experience with innovative pedagogy (e.g., project-based learning, experiential learning, or industry collaboration).
  • Familiarity with industry practices in IT management, business analytics, or data science.

Application Procedure:
Interested applicants should fill out an application via the SCU hiring portal (at https://jobs.scu.edu/) and submit the following documents:
  • Cover Letter of Application
  • Teaching Statement
  • Curriculum vitae
  • Graduate transcripts (unofficial, with official due upon time of hire)
  • Names of three persons able to produce letters of recommendation upon request
  • Evidence of teaching excellence (small portfolio of sample syllabi, faculty evaluations, and/or three-year student teaching evaluations from most recent positions)

ADDITIONAL INFORMATION:
Please note that your employment is subject to the terms of a collective bargaining agreement between the University and the Service Employees International Union Local 1021 ("Local 1021"; see https://www.scu.edu/provost/faculty-affairs/cba-ntt/).
Telecommute
Santa Clara University is registered to do business in the following states: California, Nevada, Oregon, Washington, and Illinois. Employees approved to telecommute are required to perform their work within one of these states.
EEO Statement
Equal Opportunity/Notice of Nondiscrimination
Santa Clara University is an equal opportunity employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, ethnicity, national origin, citizenship, ancestry, religion, age, sex, sexual orientation, gender, gender expression, gender identity, marital status, parental status, veteran or military status, physical or mental disability, medical conditions, pregnancy or related conditions, reproductive health decisionmaking, or any other characteristic protected by federal, state, or local laws. For a complete copy of Santa Clara University's equal opportunity and nondiscrimination policies, please visit the Office of Equal Opportunity and Title IX website at https://www.scu.edu/title-ix/.
Clery Notice of Availability
Santa Clara University annually collects information about campus crimes and other reportable incidents in accordance with the federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act. To view the Santa Clara University report, please visit the Campus Safety Services website. To request a paper copy please call Campus Safety at (408) 554-4441. The report includes the type of crime, venue, and number of occurrences.
Americans with Disabilities Act
Consistent with its obligations under the law, Santa Clara University will provide reasonable accommodations to applicants and employees with disabilities. Applicants who wish to request a reasonable accommodation for any part of the application or hiring process should contact the Department of Human Resources ADA Team at hraccommodations@scu.edu or by phone at (408)554-5750.
Work Authorization:
SCU does not sponsor any applicants for work visas for this position. The successful candidate must be able to provide evidence of identity and legal authorization to work in the United States.