Summary You will serve as a COMPUTER SCIENTIST in the Command Information Office of NAVAL FACILITIES ENGINEERING AND EXPEDITIONARY WARFARE CENTER. This position is part of the Naval Facilities Engineering and Expeditionary Warfare Center (EXWC) Personnel Demonstration Project. The ND-03 pay band encompasses positions equivalent to GS-12 through GS-14. This position has a control point equivalent to the GS-13, Step-10 level. Responsibilities You will serve as an activity focal point and coordinator for adoption and deployment of Artificial Intelligence and Machine Learning capabilities utilizing various technical platforms. You will use advanced programming techniques, statistical algorithms, and business intelligence tools to provide meaningful information, in real time, to support data driven decisions. You will extract information by data mining from existing databases and coordinate initiatives by developing monthly and quarterly metrics. You will research, develop and program analytical tools that support various portfolios. You will research and discuss ideas, issues, and solutions with other team members and/or supervisors. You will be able to execute programming assignments with alignment with guidance and direction from management. You will design, develop, implement and/or integrate systems and system components to meet a broad spectrum of business and technical requirements You will provide technical leadership and engineering support in the operations and maintenance of a wide range of systems. You will assist customers in evaluating technical capabilities of IT platforms and make recommendations for development and deployment of solutions. You will utilize advanced Python programming skills to develop and deploy AI/ML solutions leveraging extensive libraries and Application Programming Interfaces (APIs) across multiple platforms. Requirements Conditions of Employment Qualifications Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. For the ND-02 pay band: In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS 1-4 grade level or ND-01 pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate most or all of the following:1) Utilizing IT Project Management skills to execute tasking to deliver Azure AI/ML project capabilities to customers; 2) Performing accelerated learning and technology investigation to obtain Azure AI/ML technical skillsets required to contribute to the development of Azure AI/ML projects and initiatives; 3) Logging technical issues with follow-up status reports to maintain history of IT project activity; and 4) Performing software development using Python and associated libraries to generate Machine Learning solutions leveraging Microsoft Azure ML components and API's. For the ND-03 pay band: In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-05 through GS-11 equivalent grade level or ND-02 pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following:1) Utilizing IT Project Management skills to plan and execute multiple concurrent AI/ML Projects: 2) Providing advanced technical configuration and troubleshooting of Azure AI/ML infrastructure issues; 3) Generating IT system technical documentation and logging of issues with follow-up status reports to maintain history of IT project activity; and 4) Utilizing extensive Python programming experience and knowledge to develop and test Machine Learning solutions leveraging advanced Azure ML suite components, libraries and technologies (e.g. Azure AI Vision API). Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series and http://https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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. Education Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess. FOR 1550: Bachelor's degree in computer science. OR Bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. (At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus.) All academic degrees and course work must be from accredited or pre-accredited institutions. OR Education for the ND-03 level only: Master's or equivalent graduate degree; or Two full years of progressively higher-level graduate education leading to such a degree; or LL.B. or J.D., if related; or A combination of experience and education as described above. Education for the ND-02 level: You must have successfully completed a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree that included a major field of study as described in the Education section. Additional Information This position is covered by the Department of Defense Priority Placement Program. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. During the application process you will have the ability to opt-in to make your resume available to hiring managers in the agency who have similar positions in the local commuting area. Depending on the hiring organization and the position being filled, job requirements (e.g., security clearance, travel, drug testing, financial disclosure filing, bargaining unit status, etc.) may vary. Other hiring managers filling similar positions may offer relocation expense reimbursement and/or may offer recruitment incentives for new employees, depending on funding availability and in accordance with policy. If you opt-in and are referred on a certificate, your resume will be available to other hiring managers for 180-days from the date the job announcement closes. Opting in does not impact your application for this announcement, nor does it guarantee further consideration for additional positions. Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: http://www.secnav.navy.mil/donhr/Documents/CivilianJobs/FedCivAnnuitants.pdf PPP applicants will be placed at the FPL, if determined Well Qualified (WQ). To receive priority consideration, the FPL must be the same grade level or equivalent of the retained grade or the grade held immediately prior to separation. ICTAP Applicants: To be considered well-qualified and exercise selection priority as an ICTAP candidate, displaced Federal employees must satisfy all qualification requirements for the position and receive a rating in the highly qualified category (score 85) or higher. ICTAP candidates must provide copies of all of the following documentation at the time of application: 1) agency notice; 2) most recent performance appraisal; and 3) most recent SF-50 or notification of personnel action that includes position, grade level, and duty location. Applicants who do not provide this documentation will not receive consideration as an ICTAP candidate. For more information about ICTAP eligibility please review the following link: https://www.usajobs.gov/Help/working-in-government/unique-hiring-paths/federal-employees/career-transition/ Military Spouse Preference applicants will be placed at the highest grade for which they have applied and are determined Best Qualified (BQ). A BQ military spouse possesses knowledge, skills, abilities, and competencies comparable to others who meet the competitive referral criteria for the specific position. Certain incentives (such as Recruitment, Relocation or Student Loan Repayment) may be authorized to eligible selectees. A relocation incentive is generally a single payment intended to offset some of the relocation costs experienced by the selectee. A relocation incentive may be authorized.
