CHIEF DATA SCIENTIST

About this role

The application process used to recruit for this position is RESUME-ONLY. DO NOT submit separate Executive Core Qualifications/Technical Qualifications in lieu of a resume. Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin.

To apply for this position, you need only submit a resume which CANNOT exceed TWO (2) pages using 0.8-inch margins and an 11-point font. Any resume that exceeds the maximum length of two (2) pages will be removed from consideration. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position.

Failure to meet the basic qualification requirement and address all Technical Qualification factors within your resume will result in your application being disqualified. There is NO requirement to prepare a narrative statement specifically addressing the Technical Qualifications (TQs). TECHNICAL QUALIFICATION (TQs): Please give examples and explain the complexity of the knowledge possessed and the sensitivity of the issue you handled.

The Mandatory Technical Qualifications are listed below. Typically, experience of this nature will have been gained at or above the GS-14/15 grade level in the federal service or its equivalent in the private sector. Applicants must clearly demonstrate in their resume that they meet the following technical qualification(s). Failure to meet basic qualification requirements and to submit narratives for the Mandatory Technical Qualification factors will automatically disqualify an applicant.

TQ 1: Demonstrated ability to apply techniques in advanced analytics, statistical modeling, ML/AI, and scientific methodology at an executive, agency-wide leadership level. TQ 2: Demonstrated executive-level expertise in architecting enterprise data platforms, leading cloud modernization initiatives, and directing large-scale data-engineering ecosystems that enable and strengthen regulatory and scientific decision-making across the organization.