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Data Science Faculty Jobs (NOW HIRING)

NCSU

Data Science Librarian

Raleigh, NC

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ... They engage with faculty, campus groups, and external partners to support the university's data and ...

Netflix

OR

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

Netflix

Data Scientist 5, Experimentation Platform

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

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Data Science Faculty information

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$24K

$99.6K

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How much do data science faculty jobs pay per year?

As of Jun 30, 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 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.
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Data Science Faculty jobs near you
Adjunct Faculty - MS Applied Data Science

Adjunct Faculty - MS Applied Data Science

University of St. Thomas

Houston, TX • On-site

Part-time

Posted 14 days ago

Key responsibilities

  • Teach a graduate lecture course in Applied Data Science in a HyFlex format.

Job description

Adjunct Faculty - MS Applied Data Science
The University of St. Thomas (UST), a private Catholic university committed to the liberal arts and the religious and intellectual tradition of Catholic higher education, invites applications from outstanding candidates for an adjunct faculty position in the Master of Science in Applied Data Science program.
The general responsibility for this position will be teaching a graduate lecture course in a HyFlex format. A Doctoral Degree in data science or a closely related field and experience working on projects related to data science are required for the position.
Applicants must provide a cover letter addressing qualifications for the position, a curriculum vitae, and the names of and contacts of three professional references. Candidates offered an adjunct position must also provide official transcripts before the position starts.
The University of St. Thomas is committed to hiring faculty who can help it not only fulfill its integrated mission - the formation of the whole person for flourishing in this life and the next - but also advance it in new ways. The University's Catholic identity is the center of this mission, a Catholicism expressed for our own age by the Catechism of the Catholic Church and Pope St. John Paul II's Ex Corde Ecclesiae. The University asks all candidates applying for this position to consider these documents to ensure their professional goals and practices can align with them. While applicants need not be Catholic, they must be able to support the University as it seeks to be faithful to and embody the riches of the Catholic intellectual tradition.

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