Professor of Data Science

Who May Apply: US Citizens

This is a full-time term appointment in the excepted service not to exceed 3 years starting on or about summer 2025. Must be available to begin employment no later than 1 July 2025. Appointment may be extended in up to five-year increments thereafter. As a term employee you will be eligible for medical insurance, life insurance, retirement, dental and vision. You will be eligible earn annual leave and sick leave.

Qualification Requirements:

Degree: behavioral or social science; or related disciplines appropriate to the position; or Combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field; or Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.

In addition to meeting the Qualification Requirements above, applicants will be rated on the following:

SELECTIVE PLACEMENT FACTOR/KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Applicants will be rated on the criteria listed below:

1. Graduate degree in a discipline relating to data science and data literacy with a PhD or equivalent strongly preferred.
2. Skill in all aspects of data science, to include collection, storage, access, analysis and presentation/visualization. Practical experience applying these processes for senior decision makers at the enterprise level is strongly desired.
3. Demonstrated ability to present data and analysis into formats meaningful and impactful to the target audience. Ability to articulate to senior decision makers the strengths and weaknesses of various methods and approaches.
4. Teaching at the undergraduate, graduate or Senior Service College (SSC) level. Experience at the graduate or SSC level is preferred. Sustained practitioner experience may be substituted with demonstrated potential for graduate level teaching.
5. Record of scholarship in areas relevant to data science or senior leader data literacy.
6. Demonstrated ability and willingness to form and lead collective cross-functional research & analysis project teams. Strong interpersonal skills; ability to work collegially with diverse (military, civilian, foreign) graduate students, and faculty. Extensive professional network is desired.