Data Scientist

WHAT WE ARE LOOKING FOR 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. 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.

AND Minimum Qualifications: You must have one year of specialized experience to perform successfully the duties of the position. To be creditable, specialized experience must have been equivalent to at least the GS-12 grade level in the Federal service performing ALL of the following: Designing, developing, applying, and interpreting advanced dynamical, mathematical, Bayesian, and/or agent-based infectious disease models.

Building and implementing predictive infectious disease models, algorithms, or computational tools, with git / GitHub in computing languages such as R, Python, Rust, Julia, or similar, and evaluating their performance, scientific validity, and public health utility. Communicating complex quantitative methods and findings-through written reports, data visualizations, and presentations-to both technical and non-technical audiences, including public health professionals, program managers, or senior officials.

Collaborating with multidisciplinary teams (e.g., epidemiologists, clinicians, laboratory scientists, statisticians, informaticists, software engineers, or policy analysts) to plan and execute data science research or analytic projects.

Engaging with core stakeholders to understand and balance broad and competing public health needs, and contributing to strategic analytic planning by helping weigh, prioritize, and develop approaches that are scientifically sound, feasible, and responsive to decision-maker priorities. Documenting experience: IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. 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. As qualification determinations cannot be made when resumes do not include the required information, failure to provide this information may result in disqualification. Applicants are encouraged to use the USAJOBS Resume Builder to develop their federal resume.

Do not copy and paste the duties, specialized experience, or occupational application questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. In accordance with Office of Personnel Management policy, federal employees are assumed to have gained experience by performing duties and responsibilities appropriate for their official series and grade level as described in their position description.

Experience that would not normally be part of the employee's position is creditable, however, when documented by satisfactory evidence, such as a signed memorandum from the employee's supervisor or an SF-50 or SF-52 documenting an official detail or other official assignment. The documentation must indicate whether the duties were performed full time or, if part time, the "percentage of times" the other duties were performed.

It is expected that this documentation is included in the employee's official personnel record. In order to receive credit for experience in your resume that is not within the official series and grade level of your official position, you must provide a copy of the appropriate documentation of such experience as indicated above.

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). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to gain employment. You will receive credit for all qualifying experience, including volunteer experience.

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. OPM Qualification General Policies Website

WHAT YOU'LL BE DOING DAY TO DAY As a Data Scientist, you will: Research, Analysis, and Data Evaluation Consults and collaborates with statistical, data science, artificial intelligence and public health professionals in the collection, linkage, processing, mining, coding, classification, and analysis of public health surveillance, research, and administrative health data.

Technical Consultation Brings and develops expertise in the fields of health science, artificial intelligence, and programming languages as applied to public health.

Data Presentation and Dissemination Assists in preparing comprehensive reports that include discussion of substantive issues related to data science methodology for public health surveillance and related applications, assessment of the adequacy and quality of data used in the analyses, and explanation of the methods, results, and relevance to the health issue under study.

Collaborates with Informatics and Information Technology professionals to develop data storage and management solutions that enable analysis of large structured and unstructured datasets. Participates as the expert in work groups focused on data science and statistical and machine learning, as applied to public health data.