Data Scientist

About this role

For more information on eligibility requirements see: DEA Employment Eligibility Applicants must meet the required qualification requirements described below by the closing date of the announcement. If you are qualifying based on education or if there are mandatory education requirements listed below, you MUST submit a copy of your college transcripts with your application. Basic Qualification Requirements: : The basic requirement for this position requires a degree in 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- A combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience. In addition to meeting the basic requirement, applicants must possess at least one year of specialized experience equivalent to at least the next lower grade level.

Applicants applying for the GS-13 must meet the following requirements: Have at least one full year of specialized experience that is at least equivalent to work performed at the GS-12 grade level. Specialized 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 experience must demonstrate the following: GS-13: Must have one (1) year of specialized experience equivalent to at least the GS-12 level or pay band in the Federal service that includes performing the following duties: 1) utilizing data management systems to organize data into tangible and usable information to aid in analysis; 2) authoring formal analysis reports, assessments or findings used to facilitate decision making; 3) developing queries for data extraction; and 4) conducting studies to determine the validity of data, methodologies used, or results of information/analysis.