Public Notice for Direct Hire (STEM) - Data Scientist

Basic Qualifications:

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 above, plus additional education or appropriate experience.

Minimum Qualifications:

To qualify at the GS-11 grade level, you must have at least one year of specialized experience at or equivalent to the GS-09 grade level, which must include the following experience: applying and developing data adaptive algorithms, machine learning and other AI system; reviewing, analyzing, and providing information from multiple systems to prepare data reports; and using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation.

OR have completed 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree in a field which demonstrates the knowledge, skills, and abilities necessary to perform the work of the position.

OR have a combination of education and specialized experience that together meets 100% of the qualification requirement for this position.

To qualify at the GS-12 grade level, you must have at least one year of specialized experience at or equivalent to the GS-11 grade level, which must include the following experience: identifying data required for use in the management and direction of programs; developing data adaptive algorithms, machine learning and other AI system; using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation; and applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods.

To qualify at the GS-13 grade level, you must have at least one year of specialized experience at or equivalent to the GS-12 grade level, which must include the following experience: conducting research using public health data systems (i.e., survey data, health care facility data, syndromic surveillance data, electronic records, vital records, and non-traditional data sources); designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; conducting analysis using software and/or programming languages; and using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation.

To qualify at the GS-14 grade level, you must have at least one year of specialized experience at or equivalent to the GS-13 grade level, which must include the following experience: designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; conducting analysis using software and/or programming languages; and identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership.

To qualify at the GS-15 grade level, you must have at least one year of specialized experience at or equivalent to the GS-14 grade level, which must include the following experience: evaluating impacts of new policies and procedures to determine the effectiveness in meeting goals and objectives of a department or division; providing guidance for organizations information technology and negotiate on contracts providing information technology and services; planning, organizing, and presenting data science and data visualization techniques-based reports showcasing data-driven insights to organizational leadership and various program office; and guiding strategic planning for organizational structure, data management, information technology infrastructure, across an organization and with academic institutions and public health communities.

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.

Promotion potential: Promotion to the next grade level is at management's discretion and is based on your meeting qualifications and time-in-grade requirements, demonstrated ability to perform the higher-level duties, the continuing need for the higher-level duties, and administrative approval. Promotion to the next grade level is not guaranteed and no promise of promotion is implied.