Description:
The Data Scientist, Northeast Program Evaluation Center (NEPEC) is organizationally part of the VA Central Office (VACO) Office of Mental Health and Suicide Prevention (OMHSP). This position is in direct communication with OMHSP, as well as the Director and Associate Directors of NEPEC. The primary purpose of the Data Scientist is to evaluate VA specialized mental health systems.Requirements:
To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 01/02/2026.Basic Requirements :
- United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy.
- English Language Proficiency. In accordance with 38 U.S.C. 7402(d), no person shall serve in direct patient care positions unless they are proficient in basic written and spoken English.
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. (Transcript must be submitted).
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph above, plus additional education or appropriate experience.
AND
You may qualify based on your experience and/or education as described below:
Grade Requirements
Specialized Experience GS-13: You must have one year of specialized experience equivalent to at least the next lower grade GS-12 in the normal line of progression for the occupation in the organization. Examples of specialized experience would typically include, but are not limited to: Conduct program evaluation projects involving large and complex healthcare data sets, Develop and maintain electronic program monitoring tools for wide dissemination of data, Expertise with natural language processing to analyze data and interpret results. Experience in writing SQL code to accurately identify a patient cohort of interest in a corporate data warehouse (CDW) and populate a table for this cohort with diverse data such as demographics, diagnoses, appointments, and organizational encounters.
Selective Placement Factor : In addition to the qualifications listed above, applicants must have the selective placement factor listed below.
Applicants must have comprehensive computer programming knowledge and skills requiring independently writing SQL code, Corporate Data Warehouse (CDW) data extraction, and advanced data visualization software particularly Power BI. (Note: This experience must be reflective on your resume to receive credit).
You will be rated on the following Competencies for this position:
- Analytical Thinking
- Customer Service
- Data Management
- Database Administration
- Database Management Systems
- Research
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Note : A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Physical Requirements: Sedentary, some walking, sitting, standing and carrying of light items.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/ .
Dec 16, 2025;
from:
usajobs.gov