The Office of Information Technology (OIT) supports all aspects of information technology for the SEC and employees. This position is located in OIT's Office of Strategy and Innovation (OS&I) in Washington, DC. OS&I houses the SEC's AI Program, enterprise AI/ML platforms, AI risk management and governance, and leads AI/ML initiatives and projects and other advanced or innovative analytics models, solutions, applications, tools and services to support mission-critical activities across the SEC.

Duties

At the SEC, we are committed to diversity, equity, inclusion and accessibility (DEIA) and value a workforce that reflects the diverse experiences and perspectives of the communities we serve. As such, we welcome applications from qualified individuals of all backgrounds who share our commitment to public service. As a Supervisory Mathematical Statistician (Data Scientist), some of your typical work assignments may include, but are not limited to, the following: Leads risk management, governance, and technology development for the Office of Information Technology (OIT) Artificial Intelligence/Machine Learning (AI/ML) Platform and Programs-duties include executive portfolio reporting, capacity planning, product owner support, risk management, contract management, training, and process management. Provides portfolio management and oversight over a broad group of programs that develop and deliver AI/ML applications to improve efficiency and enhance operations for SEC Divisions and Offices enterprise-wide-duties include leading technical teams, programming capital/operational expenditure for AI/ML applications and managing acquisition services for AI/ML solution development support. Leads a team of federal employees in documenting and implementing requirements for AI/ML project, program, and application solutions needed by the SEC Divisions and Offices-duties include customer engagement meetings for fiscal year technology investment planning, technology acquisition strategy sessions and security compliance meetings for customer applications. Maintains knowledge and awareness of the overall and rapidly changing AI/ML technical landscape and communicates to representatives from the SEC Divisions and Offices new cutting-edge technology approaches and innovations that can enhance their day-to-day operations-including prior experience in technologies such as Natural Language Processing (NLP), Named Entity Recognition (NER), and other text automation processes, text analytics, and predictive analytics. Manages a staff of Federal employees consisting of acquisition managers, contracting officer representatives, information system owners, and technical subject matter experts that provide AI/ML application support services to the SEC Divisions and Offices. Acts as a senior IT liaison and advocate for new AI/ML technology solutions that meet SEC enterprise standards and leverage shared services for the SEC Divisions and Offices. Engages with various OIT departments to reconcile architecture solutions, change management, and security compliance. Manages a portfolio of AI/ML investments and systems in accordance with the SEC Capital Planning and Investment Control guidance and the agile service delivery framework.

Requirements

• You must be a US Citizen.
• Application procedures are specific to this vacancy announcement. Please read all the instructions carefully. Failure to follow the instructions may result in you not being considered for this position.
• Supplementary vacancies may be filled in addition to the number stated in this announcement.
• This position has promotion potential to the SK-15.
• PROBATIONARY PERIOD: This appointment may require completion of a two-year supervisory probationary period.
• SECURITY CLEARANCE: Entrance on duty is contingent upon completion of a pre-employment security investigation. Favorable results on a Background Investigation may be a condition of employment or selection to another position.
• PERMANENT CHANGE OF STATION (PCS): Moving/Relocation expenses are not authorized.
• DIRECT DEPOSIT: All Federal employees are required to have Federal salary payments made by direct deposit to a financial institution of their choosing.
• This position is not in the collective bargaining unit.
• This position is eligible to request telework in accordance with the SEC 's telework policy.
• Existing Participants in the SEC's Remote Telework Program are eligible to apply for this position. If selected, management will evaluate and communicate whether the position will allow for continued participation in Remote Telework.

Qualifications

All qualification requirements must be met by the closing date of this announcement. Qualifying experience may be obtained in the private or public sector. 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. Qualifying education must have been obtained from an accredited college or university recognized by the U.S. Department of Education. BASIC REQUIREMENT: Mathematical Statistics A. Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. or B. Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. OR Statistics A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. or B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement. SK-15: Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 or14 level: Applicant must have at least one year of specialized experience in (1) performing complex analytical tasks and assignments requiring skill and knowledge using the Python programming language), cloud computing platforms (e.g., Amazon Web Services (AWS), Microsoft Azure) and related analytical capabilities and services; AND (2) experience developing advanced analytical models, tools, prototypes, applications, or solutions (including artificial intelligence and machine learning solutions) on cloud computing platforms; AND (3) leading or overseeing complex analytical projects involving the development and deployment of AI/ML models, tools, or solutions.

Education

ARE YOU USING YOUR EDUCATION TO QUALIFY? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: (1) official or unofficial transcripts are acceptable, or (2) you may submit a list with all of your courses, grades, semester, year, and credit for the course. All materials must be submitted by the closing date of the announcement.

PASS/FAIL COURSES: If more than 10 percent of your undergraduate course work (credit hours) were taken on a pass/fail basis, your claim of superior academic achievement must be based upon class standing or membership in an honor society.

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

Contacts

• Address Office of Information Technology 100 F Street NE Washington, DC 20549 US
• Name: ask HR
• Email: [email protected]