Summary See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Battle Creek, MI: $124,531- $161,889 Columbus, OH: $129,946- $168,929 Dayton, OH: $129,169 - $167,919 Fort Belvoir, VA: $142,488- $185,234 New Cumberland, PA: $142,488- $185,234 Ogden, UT: $124,531- $161,889 Philadelphia, PA: $137,222- $178,388 Richmond, VA: $130,084- $169,108 Responsibilities Serves as an AI (Artificial Intelligence) Testing and Evaluation Data Scientist providing subject matter AI expertise and execution to test and evaluate AI systems. Provides professional and scientific expertise in the application of data science disciplines for complex studies in machine learning and deep learning algorithms, statistical analysis, visualizations, programing and computer science. Provides expertise in evaluating and measuring data science and artificial intelligence systems in accordance with data science Lifecyle practices within DoD parameters. Ensures AI systems are developed in accordance with applicable legal frameworks such as General Data Protection Regulation (GDPR) and National Institute of Standards and Technology (NIST). Incorporates, Office of Management and Budget (OMB) test and evaluation requirements, DOD AI ethical principles into DLA AI test and evaluation framework to generate an RAI test strategy for modeling cases. Utilizes expertise to coordinate the integration of the DLA AI testing and evaluation program during the product lifecycle from concept and design inception, as development proceeds, and integrated to ensure effective RAI implementation. Requirements Conditions of Employment Qualifications To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support: 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. AND B. 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. 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: - Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of AI. - Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings. - Ensures the AI systems are designed for auditability to manage AI risk assessment policies and principles which guide automated decisions supporting DLA business operations. - Provides expert advice to senior leadership and AI stakeholders to adopt new or revised policy and implementation plans resulting from AI test and evaluation integration. - Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for AI testing and evaluation. OR C. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus appropriate experience. D. Education: Applicants may not qualify for this position based on education in lieu of specialized experience. 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, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education For the Basic Education Requirement: You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable 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 will close when it receives 100 applications which may be sooner than the close date. For Important General Applicant Information and Definitions go to: http://www.dla.mil/portals/104/documents/careers/GenAppInfoDef.pdf Reemployed Annuitants: This position does not meet criteria for appointment of Reemployed Annuitants. The DoD criteria for hiring Reemployed Annuitants can be found at: https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/140025/140025_vol300.PDF Drug-Free Workplace Policy The Defense Logistics Agency (DLA) is committed to maintaining a safe, drug-free workplace. All DLA employees are required to refrain from illegal drug use on and off duty. DLA conducts pre-employment, reasonable suspicion, post-accident, and random drug testing. Applicants tentatively selected for employment in testing designated positions will undergo a urinalysis to screen for illegal drug use prior to appointment. Refusal to undergo testing or testing positive for illegal drugs will result in withdrawal of the tentative job offer and a six-month denial of employment with DLA from the date of the drug test. Employees in drug testing designated positions are subject to random drug testing. The DLA drug testing panel tests for the following substances: marijuana, cocaine, opiates, heroin, phencyclidine, amphetamines, methamphetamines, fentanyl, norfentanyl, methylenedioxymethamphetamine (MDMA), methylenedioxyamphetamine (MDA), and opioids. ADVISORY: Use of cannabidiol (CBD) products may result in a positive drug test for marijuana. DLA employees are subject to Federal law and under Federal law, Marijuana is a Schedule I drug and is illegal.
