USA remote
Data Scientist (Data Management)
About this role
Please limit your resume to 2 pages. If more than 2 pages are submitted, only the first 2 pages will be reviewed to determine your eligibility/qualifications. IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
In addition to meeting the minimum qualifications below, you must also possess one of the following to satisfy the Individual Occupational Requirement (IOR) for the GS-1560 job series: 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. (Transcripts are required; unofficial are accepted) OR Combination of education and experience: Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in above plus, additional education or appropriate experience.
(Transcripts are required; unofficial are accepted) You qualify for the GS-13 grade level if you possess one (1) year of specialized experience at the GS-12 grade level or equivalent performing duties such as: Using advanced data management concepts and techniques to interpret information; Developing data reports and new data systems for an organization; and Leveraging advanced functions like scripting and creation of complex calculated fields Qualification requirements must be met by the closing date of this announcement.
Qualification claims will be subject to verification. National Service Experience (i.e., volunteer experience): 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.