INSTRUCTOR OF DATA SCIENCE

Description:

The primary purpose of this position is to serve as a subject-matter expert authority for Data Science on the resident faculty of AFIT/LSM, performing a wide variety of duties and responsibilities encompassing leadership and coordination of a group of faculty carrying out instruction, curriculum development, administration, research, and consultation as required.

Requirements:

In order to qualify, you must meet the education and/or experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific Positions to include the Individual Occupational Requirements (IOR) for the GS-1701, General Education and Training Series.

BASIC QUALIFICATIONS:
A. Successful completion of a degree from an accredited college or university that included or was supplemented by major study in Education or in a subject matter field appropriate to the position (e.g., Data science, engineering, computer science, business analytics, mathematics or a related discipline).
OR
B. Combination of education and experience -- courses equivalent to a major in Education, or in a subject-matter field appropriate to the position (e.g., Data science, engineering, computer science, business analytics, mathematics or a related discipline), plus appropriate experience or additional course work that provided knowledge comparable to that normally acquired through the successful completion of the 4-year course of study described in A above.

AND

SPECIALIZED EXPERIENCE: At least (1) one year of specialized experience equivalent to the next lower grade (GS-12) level in the Federal service or equivalent pay systems. Specialized experience is experience in data science, engineering, computer science, business analytics, mathematics or a related discipline AND experience in developing and/or presenting information in an adult learning or consultation environment (e.g. professional continuing education, college/university instruction, lessons-learned presentations, specialized techniques/process training, or professional advice/guidance to groups of peers or near-peers etc. which shows curriculum development and/or instruction).

NOTE: Due to the use of 120-day rosters, this period of specialized experience may be completed within 120 days of the closing date of this announcement.

This is an open continuous announcement and will be used to fill vacancies as openings occur. To receive consideration for vacancies, applicants must submit complete applications prior to the established cut-off date(s). Application initial cut-off date is 22-JAN- 2024, applications received after this date will be considered only if needed for future vacancies. You are encouraged to apply as early as possible. This announcement will remain open until the closing date indicated; however, those who apply after the cut-off date will be considered for referral to the hiring manager only if no selection is made from the initial group or if additional vacancies occur and the initial referral list yielded an insufficient number of candidates. If you make corrections and resubmit your application, the date the application is last submitted will be used to determine those who are considered to have met the cut-off date.

KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Expert knowledge, both theoretical and applied, of Data Science concepts, practices, and regulations required to have mastered principles, policies, and practices of data science for the Air Force Enterprise sufficient to plan, organize, and manage critical aspects of the development, production, and implementation of the assigned educational/instructional program.
2. Mastery of Data Science policies and practice, both current and under legislation, of DoD Data Strategy initiatives, processes and documents. Included knowledge of activities and purpose of functional support personnel and the ability to coordinate such aspects of data science as data analysis, data architecture, data collection, data management, data stewardship and data governance support in order to effectively implement the instructional program.
3. An educational degree in a science (examples: physics, computer science), technology (ex: informational technology, industrial technology), engineering (ex: mechanic, electrical, industrial), math (ex: statistics, operations research) or business management/analytics related field is required. An advanced academic degree is preferred.
4. In-depth working knowledge of computer applications, with emphasis on the ability to use computers for the development and implementation of simulations and exercise, graphic and multi-media presentations, and Internet based Instructional Programs. Includes ability to effectively manage electronic messages and utilize associated media/programs for rapid transfer of textual matter and scheduling.
5. Skill to plan, organize and facilitate course development work and to negotiate effectively with management (to the level of HQAF and MAJCOM HQ) to accept and implement recommendations, where the proposals involve substantial agency resources, require extensive changes in established procedures, or may conflict with the desires of some team members. Ability to integrate effective instructional methods into the development and presentation of courseware that motivates and enables maximum learning of highly complex subject matter which may be difficult to learn.
6. Ability to create and maintain an effective student-teacher relationship with mature professionals as well as with peers and administrators. Skilled in leading discussions and in speaking before audiences, clearly expressing concepts and techniques. Skill in developing, reviewing/editing texts, handouts, manuscripts, case exercise and examinations.

PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.

VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.