Assistant Professor of Data Science

Recruitment Plan

I. RECRUITMENT PLAN

Posting Number: F002681 Academic Title: Assistant Professor of Data Science Rank: Assistant Professor Administrative Title: Discipline STEM/ STEM - Education Specialty: Contract Type: Non-Tenure Track, Renewable Appointment (initial appt period) - 08/01/2027-05/31/2030 Required Licenses/Certifications and other Specific Requirements: Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Proposed Start Date: 08/01/2027 Full-Time/Part-Time: Full-Time Position Description Summary:

The George Washington University Data Science Program at the Foggy Bottom campus invites applications for an Assistant Professor position to start as early as Fall 2027. Our program is invested in Machine Learning/Deep Learning/Artificial Intelligence spanning the broader data science lifecycle, from data infrastructure and management to analysis, modeling, and communication of insights. The selected candidate is expected to teach graduate and undergraduate data science courses and maintain an active research program in data science. This is a full-time, non-tenure-track, contractual Assistant Professor position with an initial three-year renewable appointment.

Specific Duties and Responsibilities:

The successful candidate will teach three courses each semester, including possible capstone research courses. Other duties include student advising, participation in committee work, mentoring students doing research and applied projects, and helping build relationships with industry and government data science and analytics professionals. Applied research and contribution to sponsored projects in data science is encouraged.

Minimum Qualifications:

Applicants must have earned or completed all requirements for a Ph.D. in Data Science, Computer Science, Mathematics, Statistics, Information Systems, Engineering, or a related quantitative, social, or natural science field with a focus on data science. Applicants must have documented expertise in Machine Learning/Deep Learning/Artificial Intelligence or closely related areas. Applicants must have documented teaching experience in Data Science or a related field at the university level.

ABD candidates will be considered, but must complete all Ph.D. or Doctoral degree requirements by the time of appointment.

Advertised Salary: $120,000 - $130,000 Other Benefits:

The successful applicant will receive start-up funding and opportunities for teaching in the summers. The Data Science Program is in a high-demand field allowing opportunities for students to complete paid projects and internships and faculty to work as both private and public sector consultants.

The successful applicant will be eligible for GW's employee benefits including medical, dental, and retirement. A full explanation of those benefits is available at https://hr.gwu.edu/benefits

Other Information:

The Data Science Program, developed through a collaborative effort between the Departments of Statistics, Mathematics, Physics, Economics, Geography, and Political Science, enables students to understand data and contribute important insights in all aspects of our data-intensive society.

The program provides students a deep foundation in computational and statistical methods, the latest techniques to analyze and visualize data and the skills to apply this knowledge to real world problems. The program prepares students for successful careers in industry, research institutions and government organizations. The program's location in the nation's capital offers unique opportunities to connect with government agencies and high-tech industries for research collaboration and funding. The program offers an MS in Data Science, a graduate certificate, a BS/MS combined degree program, a BS in Data Science and a Minor in Data Science.

Special Instructions to Applicants:

To apply, please complete an online application and upload the following:

• Cover letter
• Curriculum vitae (CV)
• Graduate transcripts
• Research statement describing the applicant's research experience, current interests, and future research agenda
• Sample research publications or works in progress
• Teaching statement describing the applicant's teaching interests, aspirations, and any prior teaching experience
• Documentation of teaching effectiveness (e.g. teaching evaluations)
• The names and contact information of three (3) references who may be asked to provide letters of recommendation.

Review of applications will begin on December 7, 2026 and will continue until the position is filled. Only complete applications will be considered.

Department Link: https://datasci.columbian.gwu.edu/ Posting Close Date: Open Until Filled: Yes Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement:

The university is an Equal Employment Opportunity employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.

Quick Link https://www.gwu.jobs/postings/129444

Applicant Documents

Required Documents

• Cover Letter
• Curriculum Vitae
• Transcript
• Statement of Research Interest
• Statement of Teaching Interest
• Sample Publications
• Course Evaluations or Summaries
• Names and Contact Information for References

Optional Documents

Posting Specific Questions

Required fields are indicated with an asterisk (*).

• • Will you have completed all the requirements for a Ph.D. in Data Science, Computer Science, Mathematics, Statistics, Information Systems, Engineering, or a related quantitative, social, or natural science field, with a focus on data science by the date of appointment?

• Yes

• No

• • Can you document expertise within the field of Data Science in Machine Learning/Deep Learning/Artificial Intelligence or closely related areas?

• Yes

• No

• • Can you document teaching experience in Data Science or a related field at the university level?

• Yes

• No