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Data Science Faculty Jobs in California (NOW HIRING)

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Data Science Faculty information

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.

What cities in California are hiring for Data Science Faculty jobs?

Cities in California with the most Data Science Faculty job openings:

Infographic showing various Data Science Faculty job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Science Undergraduate Major Advisor (5156) Job #88073 - Data Science Undergraduate Studies (DSU

Berkeley University of California

Berkeley, CA • On-site

Full-time

Posted 12 days ago


Job description

At the University of California, Berkeley , we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom, and belonging makes it a special place for students, faculty, and staff, who are among the most talented and accomplished anywhere, including Nobel laureates, Pulitzer Prize winners, and MacArthur Fellows. Since our founding in 1868, we have been an engine for innovation - driving intellectual, economic, and social progress that benefits California, the U.S., and beyond. Together, we change the world.
At Berkeley, the best careers are built on a foundation of continuous learning and growth . We actively support professional development by providing all full-time staff employees with at least 80 hours of paid time per year and providing space for supportive colleague communities via numerous employee resource groups.
We invite applicants who are inspired by our Principles of Community and who are eager to be part of our exciting Strategic Pla n, which charts Berkeley's next era of excellence.
Learn more about some of our accomplishments at Points of Pride.
Departmental Overview
Data Science Undergraduate Studies (DSUS) offers a range of academic, cocurricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond. Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.
DSUS is part of the College of Computing, Data Science and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.
UC Berkeley Data Science Undergraduate Studies (DSUS) has been pioneering an open-source teaching stack with many components. This position would be responsible for software maintenance and development. Technical knowledge would include programming in Python, knowledge of the Data Science software stack, knowledge of GitHub, and familiarity with course infrastructure. This position would be responsible for supporting and training instructors, administrative staff, students on course staff, and enrolled students who all interact with the teaching stack software. This role would create staff resilience to support key elements of course infrastructure across classes and time, since students on course staff may change each semester.
The Data Science Undergraduate Major Advisor role involves a wide range of student services duties and responsibilities for an academic department/school/college or organization. The incumbent will assist the Dean/Chair, faculty, and students in academic advising, recruitment, admissions, financial aid, visa/immigration matters, the evaluation and awarding of fellowships and block grant funds, student orientation and events, career counseling, and related programs.
Application Review Date
The First Review Date for this job is: 8/24/26 - Open until filled
Responsibilities
60% Academic Advising: Advises undergraduates on course selection, program policies and requirements, admission to the major and minor, and fulfilling requirements for graduation through a range of methods including in-person appointments, drop-ins, and electronic communication. Using a thorough knowledge of curricular and extracurricular options, advises students on a wide range of paths to complete degree requirements and achieve intellectual and career goals. Serves as a resource to undergraduate students on Data Science faculty, academic resources, undergraduate research opportunities, mentoring, tutoring, scholarships, internships, and career planning resources; refers students appropriately to staff, faculty, and campus units for information and assistance. Assists students in identifying strengths and barriers to academic success, and in developing short- and long-term goals. Evaluates degree progress and recommends solutions to progression and requirement issues. Provides feedback and guidance to program faculty and leadership on student curricular needs.
25% Student Orientation, Recruitment and Admissions: Plans and implements outreach programs with specifically targeted institutions; advises prospective applicants on necessary academic preparation; appropriateness of program as it pertains to the prospective applicant's goals; utilizing in-depth knowledge of the organization's admissions criteria, helps rank applicants for admissions; evaluates domestic and international transcripts for degree eligibility; initiates and arranges student recruitment visits. Oversees and may conduct orientations of new students. Plans, designs, and provides workshops for students, such as information about the organization, or academic strategies and enrichment programs.
10% Career Counseling: Advises department/college/school students on the job market process, and the standards and norms specific to the student's field of study; advises on summer internship programs; develops and maintains a network of departments and regional firms interested in hiring summer students.
5% Professional Development: Maintains professional growth and development through attendance at training sessions, seminars, conferences, cross-campus committees, and through participation on campus-wide committees and in professional organizations. Attends and gives presentations on campus and at conferences such as UC Berkeley Stay Day, UC system-wide Academic Advising Conferences, and regional and national NACADA conferences.
Required Qualifications
  • Working knowledge of advising and counseling techniques.
  • Knowledge of University-specific computer application programs and knowledge of University and departmental principles and procedures involved in risk assessment and evaluating risks as to likelihood and consequences.
  • Solid verbal and written communication skills.
  • Interpersonal skills. Required Multicultural competencies; ability to work with diverse populations.
  • Ability in problem identification and reasoning; ability to develop original ideas to solve problems.
  • Skills in judgment and decision-making, problem-solving, identifying measures of system performance, and actions to improve performance.
  • Bachelor's degree in a related area and/or equivalent experience/training.
Salary & Benefits
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
The budgeted salary or hourly range that the University reasonably expects to pay for this position is $64,260 - $90,000.
Conviction History Background
This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.
Mandated Reporter
This position has been identified as a Mandated Reporter required to report the observed or suspected abuse or neglect of children, dependent adults, or elders to designated law enforcement or social service agencies. We reserve the right to make employment contingent upon completion of signed statements acknowledging the responsibilities of a Mandated Reporter.
Misconduct Disclosure
As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
Misconduct means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
Abusive Conduct in the Workplace
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.