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Data Science Faculty Jobs in Riverside, CA (NOW HIRING)

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Data Science Faculty information

What are the key skills and qualifications needed to thrive as a Data Science Faculty, and why are they important?

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 are 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 job categories do people searching Data Science Faculty jobs in Riverside, CA look for? The top searched job categories for Data Science Faculty jobs in Riverside, CA are:
Data Science Faculty jobs near you
Infographic showing various Data Science Faculty job openings in Riverside, CA as of June 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.
Faculty, Finance & Data Analytics

Faculty, Finance & Data Analytics

Concordia University Irvine

Irvine, CA

Full-time

Posted 13 days ago

Job description

Essential Duties and Responsibilities include:

To perform this job successfully, an individual must be able to accomplish each of the below duties satisfactorily:

  • Teach lower-division courses in some or all of the following: Business Data Analytics, Accounting, Finance, Econometrics, Economics and others as needed by the department.
  • As conditions permit, teaching graduate courses in the MBA programs.
  • Other courses may include: Ethics, Management, Operations and other core business courses.
  • Service to the university as a business club Faculty Advisor, on one or more committees or in another capacity.
  • Support departmental initiatives such as on campus speaking engagements, supplemental instruction, and prospective student recruitment events (on and off campus).
  • Development of new courses as needed by the department.
  • Networking and maintaining relationships in the business community.
  • Participation in a variety of extra-curricular and co-curricular events in support of students, business programs & community events, as invited to do so.
  • To model, exhibit, and encourage behavior which supports the business school and university's mission, vision, and strategic plan.

The School of Business offers 3 undergraduate degrees: Business Administration (with 10 emphases), Economics and Sports Business. Three MBA programs are offered: Traditional MBA, MBA Sports Business and MBA Managerial Science (STEM). The undergraduate program offers emphases include: Accounting, Business Data Analytics, Business Economics, Data Science (Finance), Finance, Healthcare Management, International Business, Marketing, Management.