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Data Science Professor Jobs in Austin, TX (NOW HIRING)

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Data Science Professor information

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$22.1K

$108.7K

$205.6K

How much do data science professor jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science professor in Austin, TX is $108,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,909.00 and $153,065.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Data Science Professor jobs in Austin, TX? For Data Science Professor jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Data Science Professor jobs? Cities near Austin, TX with the most Data Science Professor job openings:
Infographic showing various Data Science Professor job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $108,736 per year, or $52.3 per hour.

Professional Track Faculty Positions in Statistics and Data Sciences (Fall 2026)

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 29 days ago


University Of Texas at Austin rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

141st of 617 rated colleges and universities


Job description

Description
The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for the Director of the MS Program in Statistics, with appointment at the rank of Associate or Full Professor of Instruction. SDS is looking forward to an expansion of its MS program through an integrated 4+1 BS/MS sequence for our rapidly growing Statistics and Data Science major. The Director of the MS Program will help lead this initiative alongside the chair of the department, shaping curriculum, advising, admissions, and the long-term academic vision of the program, while also teaching classes at the undergraduate and MS level. The anticipated start date for the position is either January 1, 2027 or August 16, 2027.
SDS is the newest and fastest-growing department in the College of Natural Sciences and will, in August 2026, join UT's new School of Computing, a major university initiative to boost investment in computer, data, and information sciences. Our programs include an undergraduate major and minor in Statistics and Data Science, an M.S. and Ph.D. in Statistics, and an online M.S. in Data Science.
The department is internationally recognized for excellence in both research and education, with 25 tenured/tenure-track and 10 professional-track faculty. While Professors of Instruction are professional-track faculty and ineligible for tenure, we hire with the hope that all new faculty will build lasting careers as part of our community. The department is committed to investing in the professional growth of all faculty. More information about the department is available here.
Austin is famous for music, media, and the outdoors; it is also a major technology center, home to companies such as 3M, Amazon, AMD, Apple, Applied Materials, Dell, Google, IBM, Meta, Samsung, and more.
Qualifications
Candidates must hold a doctoral degree in statistics, biostatistics, or a related discipline. Successful candidates will likely have at least 5 years of university teaching experience in statistics and data science, including experience with both introductory classes and classes at the advanced undergraduate or master's level.
Application Instructions
Applicants should submit a cover letter, a CV, and a teaching statement. As part of the application process, candidates will be asked to provide the names and email addresses of three individuals who are willing to provide letters of support. A link to a professional website may be provided on the candidate's CV.
Applications will be reviewed until the position is filled, with all applications received by August 17, 2026 receiving full consideration. Assuming the position continues to remain open, applications received after August 17, but before November 16, 2026, will continue to be considered.
The department is committed to respecting the confidentiality of the search process.
A background check will be conducted on applicants selected for the positions.
Questions about the search process should be directed to Professor Jay Bartroff, SDS Professional-Track Faculty Search Committee Chair and SDS Associate Chair. Please send inquiries to statjobs@austin.utexas.edu instead of emailing the search committee chair directly.
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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