Data Scientist (AI)

U.S.-Securities-and-Exchange-Commission; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

The Office of Advanced Analytics and Artificial Intelligence (OAAA) at the U.S. Securities and Exchange Commission seeks professionals to advance AI-driven data analytics and evidence-based decisions.

This role focuses on developing flagship enterprise AI applications that turn complex information into actionable intelligence. Ideal candidates will implement and operationalize AI/ML solutions on datasets, lead AI projects, and communicate results clearly to staff and management.

Responsibilities

• Implement and operationalize advanced AI/ML solutions on datasets
• Lead and oversee the execution of AI projects from concept to production

Job description

The Office of Advanced Analytics and Artificial Intelligence (OAAA) leads development of cutting-edge Artificial Intelligence (AI) solutions to aid data-driven and evidence-based decisions. Through flagship enterprise AI applications, OAAA empowers every level of the Commission to unlock the full value of data. We turn complex information into clear, actionable intelligence, and replace time-consuming manual processes with intelligent, efficient automation. Applicants are responsible for confirming all required materials are submitted by the closing date of the announcement. Please check the How You Will Be Evaluated and Required Documents sections carefully, as missing documents will render the application incomplete and ineligible for review.

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. All qualification requirements must be met by the closing date of this announcement.

BASIC REQUIREMENT

1. 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.

   or

2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

MINIMUM QUALIFICATION REQUIREMENT

In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement.

SK-14: Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level:

1. Implementing and operationalizing advanced artificial intelligence, and/or network analysis on datasets using the Python (or comparable) programming language; AND

2. Leading and overseeing the implementation of advanced intelligence projects.

ACCOMPLISHMENT RECORD COMPETENCIES:

Your Accomplishment Record narratives should address the following competencies. See the How You Will Be Evaluated section below for more information:

Competency 1: Technical Expertise in AI/ML: Applies AI/ML, quantitative modeling, and statistical analysis skills to build and
maintain models and advance research while applying responsible AI practices. Operationalizes AI systems into production.
Competency 2: Technical Execution: Produces clean, well-documented code. Uses reproducible workflows through strong version
control, structured processes, and consistent attention to technical quality.
Competency 3: Technical Communication: Translates technical information into non-technical terms and accurately convey technical
information to end users (e.g., staff, management) and outside parties, including the technical documentation of applications, systems,
Standard Operating Procedures, etc.
Competency 4: Teamwork and Collaboration: Interacts with internal and external others in a manner that advances SEC goals and
objectives.