U.S. Army Cyber Command Fort Huachuca, AZ 85670
About the Position: Serve as the civilian deputy to the Director, Data Science Directorate (DSD), United
States Army Network Enterprise Technology Command (NETCOM). Serve as a subject matter expert and consultant in all areas of data analytics, machine
learning, and artificial intelligence as applied to DoDIN-A Operations and Defense, and
business operations to senior leaders of the command and other government agencies.
Direct, analyze, review, coordinate, and integrate the actions necessary to implement the data analytics, machine learning, and artificial intelligence programs within the Army's Enterprise Information Environment Mission Area (EIEMA).
Lead the analytical study efforts for teams of analysts engaged in data analytics, machine learning, artificial intelligence and business transformation analyses of DoD and Army Enterprise Information Systems initiatives.
Provide leadership and the analytical study direction to Operations Research Analysts and Computer Scientists/Engineers who are organized into study teams.
Technically and administratively supervise a team of Field Grade military and civilian personnel.
Assign work to employees based on selective considerations of such factors as the difficulty and requirements of assignments, availability, capability, and special qualifications of employees, and workload.
Apply the rigors of the operations research and data science disciplines to manpower and personnel analysis, service performance analysis, network analysis, monitoring, modeling, simulation, and optimization.
Develop and issue written instructions and standard operating procedures to ensure compliance.
Represent the command on a variety of liaison, advisory, and consulting assignments with key technical and management personnel.
Conditions of Employment
Who May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. In order to qualify, you must meet the experience requirements described below. 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). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Supervisory Operations Research Analyst (Data Scientist): Degree: Bachelor's degree (or higher degree) in operations research; or a degree with at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: Specialized Experience: One year of specialized experience which includes analyzing, reviewing, coordinating, and integrating the actions necessary to implement the Data Analysis and Cost and Economic Analysis; formulating program plans, policies, procedures, and programmatic guidance necessary for implementing the Cost and Economic Analysis Program; representing the organization on a variety of liaison, advisory, and consulting assignments; and advising and making recommendations on study direction to Operations Research Analysts and Computer Scientists/Engineers who are organized into study teams. This definition of specialized experience is typical of work performed at the next lower grade/level position in the federal service (GS-14). Some federal jobs allow you to substitute your education for the required experience in order to qualify. For this job, you must meet the qualification requirement using experience alone--no substitution of education for experience is permitted. You will be evaluated on the basis of your level of competency in the following areas:
Data and Content ManagementDecision MakingManaging Human ResourcesResearch Time in Grade Requirement: Applicants who have held a General Schedule (GS) position within the last 52 weeks must have 52 weeks of Federal service at the next lower grade or equivalent (GS-14).
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show 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. For further information, visit: http://www.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html.
The duties of this position meet the criteria for compliance with Federal and Department of the Army Drug Free Workplace Programs. Detection of the presence of drugs may be warranted. This position may be subject to a pre-employment screening, and random testing thereafter, to include testing based on reasonable suspicion and testing due to direct involvement with an on-duty accident. Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration. You will be required to provide proof of U.S. Citizenship. Two year trial/probationary period may be required. Direct deposit of pay is required. This position requires you to submit a Public Financial Disclosure Report (OGE 278) or a Confidential Financial Disclosure Report (OGE450) upon entry, and annually thereafter. Selection is subject to restrictions resulting from Department of Defense referral system for displaced employees. If you have retired from federal service and you are interested in employment as a reemployed annuitant, see the information in the Reemployed Annuitant information sheet. This is a Career Program (CP) 36 - Analysis, Modeling, and Simulation position. You may claim military spouse preference (MSP). Multiple positions may be filled from this announcement. Salary includes applicable locality pay or Local Market Supplement. When you perform a Civilian Permanent Change of Station (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. If you are unable to apply online or need to fax a document you do not have in electronic form, view the following link for information regarding an Alternate Application. Permanent Change of Station (PCS) allowances may be authorized, subject to the provisions of the Joint Travel Regulations and an agency determination that a PCS move is in the Government Interest. Recruitment or relocation incentives MAY be authorized for highly qualified candidates. Service credit for annual leave accrual may be granted for certain non-Federal work experience and experience in the uniformed service. This position MAY be eligible for situational telework only, including emergency and OPM prescribed "Unscheduled Telework". As a supervisor, you must comply with the Army Civilian Education System (CES) course and timeline requirements. The Supervisory Development Course (SDC) must be completed within one year of placement into a supervisory position and then completed as a refresher course every three years. For information on CES, please visit the following website: http://usacac.army.mil/organizations/cace/amsc/courses.