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Secret
Unspecified
Unspecified
IT - Data Science
(On-Site/Office)
Duties
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Requirements
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Conditions of employment
To qualify for a Data Scientist (Supply Chain), your resume and supporting documentation must support:
Basic Requirements:
A. 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
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
AND
C. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military or private sector. To qualify at the GS-13 level, applicants must possess one year of specialized experience equivalent to the GS-12 level or equivalent under other pay systems in the Federal service, military or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
GS-13:
Education
If the position has a minimum education requirement you MUST provide transcripts (unofficial are acceptable at the time of application) to support your educational claims. Or, if you are using education to qualify in lieu of specialized experience you MUST provide transcripts (unofficial are acceptable at the time of application) to support your educational claims. The transcripts must include your name, the name of the college or university, class/course list, completed number of credits/hours, and the date degree conferred (if applicable). Education must be accredited by an accrediting institution recognized by the U.S. Department of Education. Licenses must be current at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.
Additional information
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- Perform professional work in data science, system analysis, risk analysis, predictive analysis, computer simulation, and program/project planning and controls.
- Solve problems encountered, analysis, and integration of large and heterogenous volumes of data related to supply chain security risk assessments, for which little or no precedent exists, and where unconventional approaches are required.
- Conduct major data, system, and risk analyses on end-to-end supply chain, which includes item manufacturing and acquisition, storage and distribution, and disposition.
- Apply mathematical, statistical, or scientific analysis to novel problems to determine relationships and predict outcomes, yielding original findings.
Requirements
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Conditions of employment
- Must be a U.S. citizen
- Security Requirements: Non-Critical Sensitive with Secret Access.
- Appointment is subject to the completion of a favorable suitability or fitness determination, where reciprocity cannot be applied; unfavorably adjudicated background checks will be grounds for removal.
- Selective Service Requirement: Males born after 12-31-59 must be registered or exempt from Selective Service.
To qualify for a Data Scientist (Supply Chain), your resume and supporting documentation must support:
Basic Requirements:
A. 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
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
AND
C. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military or private sector. To qualify at the GS-13 level, applicants must possess one year of specialized experience equivalent to the GS-12 level or equivalent under other pay systems in the Federal service, military or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
GS-13:
- Formulating and developing sophisticated models and techniques for quantitative evaluation and assessment of supply chain risks and their effect on accomplishing customer missions.
- Providing basic technical expertise in data science, system analysis, risk analysis, predictive analysis, and computer simulation.
- Applying knowledge of state of the art and emerging technologies related to data, analysis, and risk disciplines, methods, theories, and techniques.
- Designing and building models for standard, non-complex simulations.
- Applying scientific methods, to include, regression, decision tree analytics, probability and game theory, and statistical analysis to research and improve supply chain risk assessment processes.
- Providing technical direction, planning, and leadership to create and implement new agency data and supply chain risk assessment policy and processes.
- Providing a high level of technical expertise in data science, intelligence, artificial intelligence/machine learning (AI/ML), system analysis, risk analysis, predictive analysis, and computer simulation.
- Using standard-type models to simulate real world environments.
Education
If the position has a minimum education requirement you MUST provide transcripts (unofficial are acceptable at the time of application) to support your educational claims. Or, if you are using education to qualify in lieu of specialized experience you MUST provide transcripts (unofficial are acceptable at the time of application) to support your educational claims. The transcripts must include your name, the name of the college or university, class/course list, completed number of credits/hours, and the date degree conferred (if applicable). Education must be accredited by an accrediting institution recognized by the U.S. Department of Education. Licenses must be current at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.
Additional information
- This position does not meet criteria for appointment of Reemployed Annuitants. The DoD criteria for hiring Reemployed Annuitants can be found at: DoDI 1400.25-V300 .
- Tour of Duty: 1st Shift
- FLSA: Exempt
- Bargaining Unit: Yes
- Recruitment/Relocation/Retention Incentive may be authorized at Management's discretion.
- Permanent Change of Station (PCS) expenses may be paid in accordance with the Joint Travel Regulation (JTR). When you perform a civilian PCS with the government, the Internal Revenue Service (IRS) considers the majority of your entitlements to be taxable. Visit https://www.dfas.mil/civilianemployees/civrelo/Civilian-Moving-Expenses-Tax-Deduction/ for more information.
- Financial Disclosure Required
- Acquisition, Technology & Logistics (AT&L) NON-CAP: Position requires DoD Acquisition Engineering & Tech Management, Practitioner certification within required timeframes. Selectee must also achieve 80 hours of Continuous Learning Points (CLPs) every 2-years. Click here for more details and Resources .
group id: DODAF
