Assistant Teaching Professor of Data Science
William & Mary

Job Info

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Position Number:

F0A42W

Position Title:

Assistant Teaching Professor of Data Science

Unit Mission Statement:

The mission of the College and the School of Arts & Sciences is to foster teaching, research, and public service as an integral part of education linked through programs to preserve, transmit, and expand.

Position Summary:

The Data Science Program at William & Mary, a public university of the Commonwealth of Virginia, invites applications for a 3 year, non-tenure track Assistant Teaching Professor instructional position that will begin August 10, 2025. This full-time teaching faculty appointment carries a service component commensurate with rank, and comes with the possibility of ongoing renewals and a framework for promotion.

We seek an individual with expertise in Data Science, including expertise in one or more of the following areas: artificial intelligence and machine learning, natural language processing, distributed database technologies (i.e., Spark, Hive), distributed computing, visualization, and big data technologies.

The successful applicant must demonstrate a strong ability to be an effective teacher and mentor and will have a 3-3 teaching load.

Required Qualifications:

Master's degree in Data Science, Computer Science, Computational Sciences, or related field.

Preferred Qualifications:

A Ph.D. in Data Science, Computer Science, Computational Sciences, or a related field at the time appointment begins (August 10, 2025), or ABD is preferred at the time appointment begins (August 10, 2025) Previous teaching experience is preferred. We are particularly interested in candidates who have previously created python materials which have been used in courses or labs.

Conditions of Employment:

N/A

Department:

3KEA10 Data Science

Location:

William & Mary

Job Open Date:

08/30/2024

Review Begin Date:

10/31/2024

Job Close Date:

11/07/2024

Open Until Filled:

Yes

Employment Category:

Faculty

Special Application Instructions:

Applicants must apply online at https://jobs.wm.edu. Submit a curriculum vitae, a cover letter, and a statement of teaching interests that describes how your scholarly work informs your approach to teaching and mentoring.Candidates are encouraged to reflect on their past experiences or future plans to foster an inclusive and welcoming climate for learners/scholars in Data Science in any of the aforementioned required documents. You cannot submit a separate diversity statement. You will be prompted to submit online the names and email addresses of three references who will be contacted by the system with instructions for how to submit a letter of reference.For full consideration, submit application materials by the review date, October 31, 2024. Applications received after the initial review date will be considered if needed.

Background Check Statement:

William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

EEO Statement:

William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The university is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities.

Benefits Summary Statement:

William & Mary offers our employees a full array of benefits including retirement, health insurance with options for expanded dental and vision along with group and optional life insurance with coverage for spouse and children, flexible spending accounts, and an EAP (Employee Assistance Program).

Our employees enjoy additional university benefits such as educational assistance, professional development, wellness benefits, and a robust holiday schedule. All employees have access to fitness facilities on campus. Staff members also have access to the university libraries, and much more. To learn more, go to: https://www.wm.edu/offices/uhr/benefits/index.php?type=none

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