Full-time Assistant or Associate Professor, Data Science

National University; San Diego (CA); Remote; USD 74,000 - 105,000; Full time

Job summary

An established industry player is seeking a dynamic Assistant or Associate Professor in Data Science to join their innovative team. This remote position offers the opportunity to teach and develop engaging courses in data science, focusing on AI and machine learning. The ideal candidate will have a strong background in data science, a commitment to student success, and a passion for research. Join a forward-thinking institution that values diversity, innovation, and the growth of its faculty and students. Take part in shaping the future of education while enjoying a supportive and inclusive work environment.

Benefits

Comprehensive Well-Being Benefits

Remote Work Perks

Professional Development Opportunities

Inclusive Culture

Competitive Pay and Benefits Packages

Qualifications

• 3+ years of professional experience in data science and analytics.
• Experience in teaching higher education, especially online.
• Proficiency in AI and machine learning applications.

Responsibilities

• Teach and develop undergraduate and graduate courses in Data Science.
• Maintain pedagogical expertise in AI and machine learning.
• Lead student research projects and engage in scholarly activities.

Skills

Python

R

SQL

Machine Learning

Artificial Intelligence

Predictive Modeling

Data Analytics

Teaching Experience

Education

PhD in Data Science

PhD in Computer Science

PhD in Engineering

Tools

TensorFlow

Keras

PyTorch

AWS

Azure

Job description

Full-time Assistant or Associate Professor, Data Science page is loaded

Full-time Assistant or Associate Professor, Data Science

Apply remote type Remote locations Remote, USA time type Full time posted on Posted Yesterday job requisition id R 2025 2821

Compensation Range:

Annual Salary: $74,005.00 - $104,310.00

National University – San Diego, California

Full-time Assistant or Associate Professor, Data Science – Remote

National University is a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible higher education to adult learners. Today, we educate a student body from across the U.S. and around the globe, with more than 230,000 alumni worldwide. Our three schools and three colleges offer more than 200 accredited and licensed graduate and undergraduate programs. National University holds accreditation through the Western Senior College and Universities Commission (WSCUC).

The Department of Engineering, Data, and Computer Sciences in the College of Business, Engineering, and Technology at National University invites applications for an Assistant or Associate Professor in Data Science. Rank is commensurate with qualifications and experience . The successful candidate will have a potential or demonstrated record of excellence in teaching and scholarship in their field and a commitment to serving the university’s adult student body. This position is remote. This position works closely with other full-time and part-time faculty within the discipline and administration, contributing to programmatic strategies that ensure program quality, student engagement, and success. We are looking for a candidate who can teach undergraduate and graduate data science courses, especially in AI and machine learning, lead student research projects, and evolve into an academic program director in data science.

Position Summary

Candidates will be evaluated for their level of proficiency and potential for excellence in teaching, scholarship, and service. The main expectations of this position include:

Teaching

• Teach and develop online and/or onsite undergraduate and graduate courses in Data Science.
• Maintain pedagogical and subject matter expertise in data science, especially AI and machine learning.
• Create an inclusive and positive learning environment.
• Ensure course and program practices align with compliance and accreditation standards.
• Adhere to the National University’s academic integrity policy.

Scholarship

• Maintain a productive scholarship agenda suitable to a teaching university, including leading student research projects.
• Engage in scholarly activities to maintain professional growth.
• Participate in professional development as outlined in faculty policies.

Service

• Participate in curriculum oversight, shared governance, and the student experience.
• Serve on committees at the program, department, school, college or/and university level and engage in community activities that promote program outreach and university goals.
• Participate in program meetings and advisory boards to integrate best practices and strategic initiatives.

The ideal candidate will possess the following qualifications:

Education & Experience:

• PhD degree in Data Science, Computer Science, Engineering, Applied Statistics, Computational Science or related discipline required.
• 3+ years professional experience in data science, analytics, predictive modeling, quantitative modeling, or a related domain required; experience in artificial intelligence, machine learning, or optimization are preferred.
• 3+ years of experience with Python, R, SQL, or other analytical software for data science applications in industry or academic settings required; programming experience with neural networks, machine learning (with Tensorflow, Keras, or Pytorch), and cloud-based deployment platforms (AWS, Azure) are preferred.
• 1+ year of teaching in higher education experience required; experience teaching online in higher education is preferred.

Special conditions of employment include:

• Background check required.
• Travel is required at least once annually to attend the annual Commencement ceremony (if held onsite).

This position will be posted until filled.

For full consideration, interested candidates should apply by June 1, 2025, and provide the following:

• A cover letter that includes skills and experience in the areas denoted in the job posting.
• A curriculum vita
• Statement of higher education teaching experience online and/or onsite.
• Statement of research experience and how you would translate that to the academic environment as a leader of undergraduate and graduate research projects.

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#LI-Remote

Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate’s qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University’s total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu . For part-time positions, please click here .

National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, family care status, veteran status, marital status, creed, religion, sex, gender, sexual orientation, religion, ethnicity, national origin, and other legally protected group status.

About Us

National University is breaking barriers in education – and in the workplace.

We’re united in our mission to build a better future for our more than 5,000 employees and our 45,000+ students.

National University prioritizes our employee’s well-being and growth by offering a diverse and inclusive culture, competitive pay and benefits packages, development and advancement opportunities, remote-first work perks, and more.

We value and reward the hard work of our faculty and staff.