Data Scientist (Supply Chain)

Summary See below for important information regarding this job. Duties Solving problems encountered in the gathering, conditioning, analysis, and integration of large and heterogenous volumes of data related to supply chain security risk assessments. Applying scientific methods, including but not limited to, decision tree analytics and probability to research and improve supply chain risk assessment processes and develop the associated models, policies, and procedures for DLA. Applying scientific methods, including but not limited to, game theory and statistical analysis to research and improve supply chain risk assessment processes and develop the associated models, policies, and procedures for DLA. Performing professional work in data science, artificial intelligence, system analysis, risk analysis, predictive analysis, complex computer simulation, program/project planning and controls, and other related areas. Providing technical direction, planning, and leadership to create and implement new agency data and supply chain risk assessment policies and processes. Formulating and developing sophisticated models and techniques for quantitative evaluation and assessment of supply chain risks and their effect on accomplishing agency and customer missions. Preparing comprehensive technical reports of completed assessments assuring adequate correlation of data, integration of all pertinent considerations, and substantiation of conclusions. Preparing, presenting, and defending project briefings/recommendations to senior government and commercial industry personnel. Requirements Conditions of employment Must be a U.S. citizen Tour of Duty: Full-Time, Flexible Security Requirements: Tier 3/Non-Critical Sensitive 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. Fair Labor Standards Act (FLSA): Exempt Selective Service Requirement: Males born after 12-31-59 must be registered or exempt from Selective Service. Recruitment Incentives: Not Authorized Bargaining Unit Status: Yes Pre-Employment Physical: Not Required Selectees are required to have a REAL ID or other acceptable identification documents to access certain federal facilities. See https://www.tsa.gov/real-id for more information. You will be a Mission Essential employee. This requires you to work during an emergency to ensure continuation of essential functions. You may be required to work at the designated duty location, a telework site, or an alternate location/facility. Qualifications To qualify for a Data Scientist (Supply Chain), your resume and supporting documentation must support both A and B requirements: A. Basic Requirement: Degree in 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 Combination of education and experience, courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience. 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-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, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Applying programming languages such as Python or R to perform advanced statistical analysis, machine learning, model development, or simulation. Serving as a senior data analyst to manipulate and transform large, complex datasets utilizing query tools, and to develop risk assessment models/methods. Developing predictive or prescriptive models using machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Creating analytic dashboards, visualizations, or decision-support tools using Tableau, Power BI, or similar platforms. Using version control systems (e.g., Git) to manage code repositories and collaborative analytical projects. Demonstrating expert knowledge of standard and innovative data science, artificial intelligence, system analysis, risk analysis, predictive analysis, complex computer simulation, program/project planning, and controls techniques. 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 Substitution of education may not be used in lieu of Specialized Experience for this grade level, but may be used to meet the Basic Requirement. Are you using your education to qualify? 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 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 Information for Veterans is available at: https://www.dla.mil/Careers/Programs/. As of 23 December 2016, Military retirees seeking to enter federal service in the Department of Defense now require a waiver if they would be appointed within 180 days following their official date of retirement. 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. Additional guidance on writing a federal resume can be found at: USAJOBS Center - How do I write a resume for a federal job? The resume builder can help you create a resume using these recommendations and uses the information in your USAJOBS profile to help you get started. 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. Benefits A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.