USA remote
Data Scientist
About this role
To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 10/15/2026. Time-In-Grade Requirement: Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-12 position you must have served 52 weeks at the GS-11. The grade may have been in any occupation, but must have been held in the Federal service.
An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement. In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment.
BASIC EDUCATION REQUIREMENT- You must first meet Basic Education Requirements for this position as described below. Transcripts are REQUIRED. Basic Education Requirement 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. 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.
TRANSCRIPTS REQUIRED ADDITIONAL QUALIFICATIONS- In addition to meeting the basic education requirement, you must have specialized experience or directly related education as described below. Specialized Experience: 1 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. NOTE: To be minimally qualified for this position, you must meet specialized experience listed below.
Specialized experience is: Leads and conducts complex organizational, health-science, and data-science research using advanced statistical, psychometric, predictive, machine-learning, and artificial-intelligence methods to evaluate workplace dynamics, customer feedback, program performance, and organizational outcomes. Designs, develops, and implements data acquisition, management, standardization, quality-control, benchmarking, and reporting processes for large and complex datasets, including procedures for data storage, retrieval, classification, coding, security, privacy, and dissemination.