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Data Science Faculty Jobs (NOW HIRING)

University of Miami

Manager, Data Science

Miami, FL · On-site

$110 - $140/hr

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... The Manager, Data Science assists the director in managing the development and deployment of ...

The University of Miami

Manager, Data Science

Miami, FL · On-site

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ...

University of Miami

Manager, Data Science

Miami, FL · On-site

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ...

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Data Science Faculty information

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$24K

$99.6K

$200K

How much do data science faculty jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science faculty in the United States is $99,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $145,000.00 per year, depending on experience, location, and employer.

What is a data science faculty?

Data Science Faculty are educators and researchers who teach and conduct research in the field of data science at colleges or universities. They design and deliver courses on topics such as statistics, machine learning, data analysis, and programming. In addition to teaching, they often mentor students, publish research, and may collaborate with industry partners on real-world data projects. Their goal is to advance knowledge in data science and prepare students for careers in this rapidly growing field.

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

To thrive as a Data Science Faculty member, you need advanced knowledge in statistics, machine learning, and programming, typically supported by a graduate degree (Master's or Ph.D.) in data science or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as experience using learning management systems, is essential. Excellent communication, mentorship, and curriculum development skills help engage students and foster an effective learning environment. These skills enable faculty to teach complex concepts clearly, guide student research, and stay current in a rapidly evolving discipline.

What are some common challenges data science faculty members face when balancing teaching and research responsibilities?

Data Science Faculty often juggle multiple responsibilities, including designing and delivering course content, mentoring students, and conducting their own research. One common challenge is allocating sufficient time for both high-quality instruction and advancing research projects, which may have overlapping deadlines. Faculty members also need to stay current with rapidly evolving data science tools and techniques to ensure their teaching remains relevant. Successful faculty often collaborate with colleagues, involve students in research, and utilize strong organizational skills to manage these demands effectively.

What is the difference between Data Science Faculty vs Data Analyst?

AspectData Science FacultyData Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsOften requires a bachelor's or master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentAcademic institutions, universities, research centersCorporate offices, consulting firms, or in-house data teams
Employer & Industry UsageEducational and research institutionsBusiness, finance, healthcare, marketing, and other industries
Common Search & Comparison IntentUnderstanding academic roles, teaching, research opportunitiesData interpretation, reporting, business insights

Data Science Faculty primarily focus on teaching and research within academic settings, requiring advanced degrees and engaging in scholarly activities. Data Analysts work in industry, analyzing data to generate actionable insights, often with less emphasis on research and more on practical data interpretation. While both roles involve data skills, their environments, responsibilities, and credentials differ significantly.

More about Data Science Faculty jobs

What cities are hiring for Data Science Faculty jobs?

Cities with the most Data Science Faculty job openings:

What states have the most Data Science Faculty jobs?

States with the most job openings for Data Science Faculty jobs include:

Data Science Faculty jobs near you
Infographic showing various Data Science Faculty job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,615 per year, or $47.9 per hour.

Part Time Faculty - Mathematics, Statistics and Data Science

Loyola Marymount University

Los Angeles, CA • On-site

$2.5K/wk

Part-time

Re-posted 20 days ago

Loyola Marymount University rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

9th of 629 rated colleges and universities

Job description

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Mathematics, Statistics and Data Science. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses.
The Department of Mathematics, Statistics and Data Science serves approximately 75 majors and 50 minors across programs in Mathematics, Applied Mathematics and Statistics and Data Science. In addition, we teach many courses required by other majors across the university. Lecturers are typically hired to teach courses such as Algebra, Precalculus and Calculus; other courses may be available depending upon qualifications and experience. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/math/.
Job Responsibilities
The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements.
Minimum Qualifications
Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students.
Required Education
A master's or doctorate level degree.
Special Instructions
Apply online at https://jobs.lmu.edu. A completed application consists of:
A current CV/resume
Cover Letter
Statement of Teaching
References - 3 references required
Minimum salary is $2,517 per unit taught.
Faculty Regular
Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

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