CHIEF DATA SCIENTIST

USDA Food Safety and Inspection Service

Washington (District of Columbia)

Vor Ort

USD 152.000 - 228.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

The USDA Food Safety and Inspection Service (FSIS) within USDA’s OCIO is seeking a lead for scientific and data-driven initiatives that strengthen food safety analytics for public health. Responsibilities include advising on statistical analyses, conducting end-to-end data science work, building collaborations with public health and academic partners, and guiding data analytics policy across FSIS programs.

The role requires U.S.

Qualifikationen

  • Advanced analytics, statistical modeling, ML/AI at executive level.
  • Enterprise data platforms architecture and cloud modernization leadership.
  • Bachelor’s degree in Mathematics, statistics, computer science, data science, or related field.
  • Combination of education and experience: 30 semester hours of courses related to major plus additional education or appropriate experience.

Aufgaben

  • Advise on scientific issues across development, planning, coordination, and implementation of statistical analyses across FSIS program areas.
  • Conduct or direct end-to-end data science lifecycle work, including data analysis and integration studies requiring detailed knowledge of food safety and public health.
  • Build and maintain relationships across public health, food safety, and data science/analytics communities, including professional organizations and academic institutions, to complement and expand FSIS programs.
  • Serve as a liaison to nationally and internationally recognized authorities and organizations whose policies affect the agency’s data infrastructure and analytics activities supporting food safety and public health initiatives.
  • Coordinate, evaluate, and improve the development and implementation of data analytics, including the life cycle process model, to support policy development and scientific policies related to food safety and food defense.
  • Review and provide scientific evaluation of new and proposed policies, procedures, regulations, and legislation that affect data analytics integration and food defense and safety programs.
  • Collaborate with other Agency officials to ensure decisions and actions are supported by scientific and credible data and align with other programs and organizations’ needs.

Kenntnisse

Advanced analytics
ML/AI
Executive leadership

Ausbildung

Bachelor’s degree
Education/experience combination

Jobbeschreibung

Lead scientific and data-driven initiatives that strengthen food safety and public health analytics for FSIS within USDA’s OCIO.

Responsibilities
  • Advise on scientific issues across the development, planning, coordination, and implementation of statistical analyses across the full range of FSIS program areas.
  • Conduct or direct end-to-end data science lifecycle work, including data analysis and integration studies requiring detailed knowledge of food safety and public health.
  • Build and maintain relationships across public health, food safety, and data science/analytics communities, including professional organizations and academic institutions, to complement and expand FSIS programs.
  • Serve as a liaison to nationally and internationally recognized authorities and organizations whose policies affect the agency’s data infrastructure and analytics activities supporting food safety and public health initiatives.
  • Coordinate, evaluate, and improve the development and implementation of data analytics, including the life cycle process model, to support policy development and scientific policies related to food safety and food defense.
  • Review and provide scientific evaluation of new and proposed policies, procedures, regulations, and legislation that affect data analytics integration and food defense and safety programs.
  • Collaborate with other Agency officials to ensure decisions and actions are supported by scientific and credible data and align with other programs and organizations’ needs.
Requirements
  • Citizenship: Must be a U.S. Citizen or National.
  • Probation: Successful completion of a one-year probationary period, unless previously served.
  • Background: Subject to satisfactory adjudication of background investigation and/or fingerprint check.
  • Direct Deposit: Required per Public Law 104-134 for federal payments.
  • Employment verification: Successfully pass the E-Verify employment verification check.
  • Selective Service: Individuals born male after 12/31/1959 must be Selective Service registered or exempt.
  • Conflicts of interest: Submit a financial disclosure report within 30 days of effective date of appointment and annually thereafter, per Office of Government Ethics regulations.
  • Technical Qualification 1 (TQ 1): Ability to apply advanced analytics, statistical modeling, ML/AI, and scientific methodology at an executive, agency-wide leadership level.
  • Technical Qualification 2 (TQ 2): Executive-level expertise 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.
  • Degree: Bachelor’s degree in Mathematics, statistics, computer science, data science, or a directly related field (major field of study at least at the baccalaureate level).
  • Combination of education and experience: 30 semester hours of courses equivalent to a major field of study, plus additional education or appropriate experience.
Pay
  • Salary range: USD 151,661 - 228,000 per year
Benefits
  • A career with the U.S. government provides a comprehensive benefits package.
  • Benefits eligibility depends on position type and whether full-time, part-time, or intermittent.
Who Can Apply
  • The public
  • U.S. Citizens, Nationals, or those who owe allegiance to the U.S.
  • Senior executives
  • Individuals seeking an executive-level role who meet the five Executive Core Qualifications (ECQs)
  • Clarification from the agency indicates applications will be accepted from all qualified candidates
How You Will Be Evaluated
  • Evaluation based on how well you meet the qualifications listed in the announcement.
  • Evaluation based on quality and extent of total accomplishments, experience, and education.
  • Applications rated and ranked by an Executive Review Board (ERB) Panel using only information submitted in the application package.
  • Applicants who do not demonstrate sufficient possession of the Technical Qualifications (TQs) will be determined ineligible for further consideration.
  • Selection interviews may be required.
Qualifications and Resume Requirements
  • Resume-only process: The application process used to recruit for this position is RESUME-ONLY.
  • Do not submit separate Executive Core Qualifications or Technical Qualifications in lieu of a resume.
  • Submit only a resume (cannot exceed two (2) pages; 0.8-inch margins; 11-point font).
  • No narrative statement is required specifically addressing the Technical Qualifications (TQs).
  • Failure to meet basic qualification requirements and address all Technical Qualification factors within the resume will disqualify the application.
  • Time in grade: does not apply to SL positions.
Required Documents
  • 2-page TQ based resume: do not submit Technical Qualifications in lieu of a resume.
  • Resume should include: personal information (name, address, contact information), education, detailed work experience related to the position (including work schedule, hours worked per week, and dates of employment), title/series/grade (if applicable), supervisors’ phone numbers (and whether they may be contacted), starting and ending dates of employment (month and year), salary, and honors/awards/special accomplishments.
  • Current or former Federal civilian employees: include a copy of the most recent SF-50 (Notification of Personnel Action).
  • Education (if applicable): provide transcripts or a course listing with college name, course title, department, hours earned (quarter or semester), and grade.
  • Foreign education (if applicable): submit evaluation of foreign education prepared by an accredited organization.
Conditions of Employment
  • Must be a U.S. Citizen or National.
  • Successful completion of one-year probationary period, unless previously served.
  • Subject to satisfactory adjudication of background investigation and/or fingerprint check.
  • Direct Deposit required per Public Law 104-134.
  • Must successfully pass E-Verify employment verification check.
  • Selective Service registration or exemption required for individuals born male after 12/31/1959.
  • Financial disclosure report required within 30 days of appointment and annually thereafter.
Additional Information
  • Consideration for competitive selection is open to all qualified candidates within the area of consideration that meet basic qualifications.
  • Post-employment restriction: covered under the Ethics in Government Act of 1978 (P.L. 95-521); selectee must file an Executive Personnel Financial Disclosure Report (Standard Form 278) within 30 days.
  • Applications sent in U.S. Government postage-paid envelope and submitted through Federal Agency courier services will not be considered.
  • The Hatch Act Reform Amendments prohibit oral and written political recommendations for Federal jobs.
  • Male applicants born after December 31, 1959 must be registered with the Selective Service System before employment by an executive agency of the Federal government.
  • All application forms are subject to the Privacy Act and become the property of USDA.
  • Reasonable accommodation is available for applicants with disabilities.
  • OPM must authorize offers for certain current or former political Schedule A, Schedule C, or Non-career SES employees within the executive branch (authorization effective January 1, 2010).
Next Steps
  • Verify application status by signing in to your USAJOBS account.
  • After online submission, receive a confirmation notification by email.
  • HR Office evaluates applications to determine eligibility.
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