USA remote
Supervisory Data Scientist
About this role
BASIC REQUIREMENT: 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. -OR - 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.
SPECIALIZED EXPERIENCE REQUIREMENTS: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-13) in the Federal service. Specialized experience for this position is defined as: 1) Experience managing an enterprise data science program, including establishing strategic plans, formulating data policies, allocating resources, and coordinating initiatives with external partners; 2) Experience advising executives on the governance and deployment of complex data science platforms and analytical infrastructure across the entire data life cycle; and 3) Experience directing highly complex data science and machine learning projects using predictive modeling, natural language processing, and advanced statistics to automate business processes.
"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. 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. Time-in-Grade: Current Federal employees must meet time-in-grade requirements by the closing date of this announcement to receive consideration. CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section. You must meet all qualifications and eligibility requirements by the closing date of this announcement.
Source listing: usajobs