About this role
Job SummaryThe position of Chief Data Scientist is in the Office of the Chief Information Officer, Food Safety and Inspection Service, U.S. Department of Agriculture (USDA). The Office of the Chief Information Officer (OCIO) has primary responsibility for information technology and information management for FSIS.
QualificationsThe application process used to recruit for this position is RESUME-ONLY. DO NOT submit separate 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 QUALIFICATIONS (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. Time in grade requirements does not apply to SL positions. 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; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Applicants must meet all qualifications and eligibility (including educational) requirements by the closing date of the announcement.
Major DutiesAdvises on scientific issues pertaining to the development, planning, coordination, and implementation of statistical analyses of food safety and public health related to the full range of FSIS program areas.Conducts or directs full and comprehensive data science lifecycle, data analyses and performs integration studies that require detailed knowledge of food safety and public health issues.Cultivates and maintains contacts in the public health, food safety, data science/analytics, and scientific community, and with professional organizations and academic institutions, in an effort to complement and expand FSIS programs.Serves as the liaison with nationally and internationally recognized authorities and organizations whose policies impact the agency’s data infrastructure, analytics, and activities in support of food safety and public health initiatives.Supports in coordinating, evaluating, and improving the development and implementation of data analytics and the life cycle process model to support policy development and scientific policies as it relates to food safety and food defense.Reviews and scientifically evaluates new and proposed policies, procedures, regulations, and legislation that impact data analytics integration and food defense and safety programs.Collaborates with other Agency officials to ensure that decisions made and actions taken are fully supported by scientific and credible data and respond to the interests and needs of other programs and organizations.