Data Scientist (AI)

Securities and Exchange Commission

• $110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related field.
  • 1+ year of specialized experience equivalent to GS/SK-13 level.
  • Experience with managing structured and financial data initiatives.
  • Proven expertise in AI/ML tools for data analysis and workflow automation.
  • Familiarity with cloud or hybrid systems for data processing and storage.

Responsibilities

  • Provide guidance on structured data standards and validation rules.
  • Evaluate machine-readable disclosures for structure and consistency.
  • Conduct complex analyses to identify data issues and methodological approaches.
  • Support development and implementation of taxonomy elements and validation logic.
  • Participate in long-term structured data modernization planning.
  • Collaborate with various stakeholders to address data quality issues.
  • Design processes and tools to improve machine-readable disclosure quality.

Benefits

  • Comprehensive benefits package for federal employees.
  • Access to health insurance and retirement plans.
  • Opportunities for professional development and training.
  • Paid vacation and sick leave.
  • Flexible work schedules may be available.
Full Job Description
Summary

The Division of Economic and Risk Analysis is seeking a Data Scientist (AI) in the Office of Data Standards and Innovation. As a Data Scientist (AI), you will help maintain operational continuity, supports modernization initiatives, and strengthen the Commission's ability to provide investors, regulators, and the public with consistent and accessible machine-readable data.

Duties

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In this role as a Data Scientist (AI), you will be responsible for:

  • Providing authoritative guidance on structured data standards, disclosure requirements, validation rules, and data quality principles.
  • Evaluating the structure, consistency, and interpretability of machine-readable disclosures submitted to the Commission.
  • Conducting complex analytical assessments, identifying structural or semantic issues, and determining appropriate methodological approaches.
  • Supporting the development, refinement, and implementation of taxonomy elements, data models, and validation logic.
  • Participating in long-range planning related to structured data modernization, standard setting, and statutory implementation.
  • Collaborating with staff across the SEC, other regulators, and external standards groups to address data quality and structured reporting issues.
  • Designing or advising on processes, tools, or automation approaches that improve machine-readable disclosure quality and usability.


Requirements

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Conditions of employment

  • CITZENSHIP: You must be a US Citizen.
  • SELECTIVE SERVICE: Males born after 12/31/59 must be registered or exempt from Selective Service (see https://www.sss.gov/).
  • 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.
  • PROBATIONARY PERIOD: This appointment may require completion of a one-year probationary period.
  • The selectee is required to report to the duty station(s) listed.


Qualifications

Applicants are responsible for confirming all required materials are submitted by the closing date of the announcement. Please check the HowYou 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:



A. Managing structured and financial data initiatives, establishing data standards, and recommending AI/ML tools to enhance organizational capabilities.

B. Using AI-enabled tools and automation to improve data analysis, streamline workflows, and support modernization projects; recognized as a technical expert in these applications.

C. Designing and maintaining cloud or hybrid systems that support data processing, validation, storage, and transformation across multiple platforms and databases.

D. Translating analytical findings into actionable insights for leadership, program teams, and external partners; contributing to data strategy and policy decisions.

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: AI/ML Application & Responsible Use - Uses appropriate AI/ML methods and tools - including code assist and information processing automation to enhance analysis of structured data, increase workflow efficiency, and modernize analytical or review processes while following responsible AI practices.

Competency 2: Technology Awareness and Innovation: Maintains awareness of emerging analytics and AI/ML technologies and uses this knowledge to introduce and share relevant advancements that strengthen organizational capabilities.

Competency 3: Teamwork and Collaboration: Interacts with internal and external others in a manner that advances SEC goals and objectives.

Competency 4: Technical Quality and Reproducibility - Applies structured engineering practices and quality control techniques and methods across the development lifecycle, producing well documented code, maintaining version controlled artifacts, and creating reproducible workflows

Education

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 your courses, grades, semester, year, and credit for the course. If you are qualifying for this position by substituting education or training for experience, you must submit a copy of your unofficial transcripts or equivalent by the closing date of the announcement. Qualifying education must have been obtained from an accredited college or university recognized by the U.S. Department of Education. Internal Applicants: OHR will verify education qualifications for internal applicants using documents in the Electronic Official Personnel Folder (eOPF). If required transcripts or certificates are not present in your eOPF, you will be required to provide them to OHR. If selected, a start date will not be established until official transcripts are received.

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. For more information, click here.

Applicants may also find the following helpful:

National Association of Credential Evaluation Services (NACES) is an association of 19 credential evaluation services with admission standards and an enforced code of good practice.

Association of International Credentials Evaluators (AICE) is an association of 10 credential evaluation services with a board of advisors and an enforced code of ethics.

Additional information

Supplementary vacancies may be filled in addition to the number stated in this announcement and may be filled from any division or office within the agency.

SEC COMPENSATION PROGRAM: Total salary (base pay + locality) is dependent upon duty location. The overall salary range listed above is provided for informational purposes; a selectee's initial pay will be established below the maximum rate of the range. The pay for current SEC employees will be determined according to the procedures specified in the agency's policy. Please click here for a compensation overview.

Benefits

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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.

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