Jobs · Information Technology · Georgia

Lead Data Scientist

Centers for Disease Control and Prevention · Atlanta, GA · 6 days ago
Information TechnologyPart-time

This position is located in the Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, headquartered in Atlanta, Georgia.

Requirements

Basic Qualifications:

  • A. 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.
  • B. 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.

Qualifications

Minimum Qualifications:

  • You must have one year of specialized experience equivalent to at least the GS-13 grade level in the Federal service performing ALL of the following:
    • Performing data science work that requires knowledge of public health data systems, converting data, and proficiency in data science;
    • Developing and analyzing structured and unstructured data;
    • Understanding of data science methods (e.g., machine learning, natural language processing).

Documenting experience: In describing your experience, please be clear and specific. Qualifications are based on breadth/level of experience. In addition to describing duties performed, applicants must provide the exact dates of each period of employment (from MM/YY to MM/YY) and the number of hours worked per week if part-time.

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; community; student; social). If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited.

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