Data Scientist

This position is located in the Department of Health and Human Services, Centers for Disease Control and Prevention, Office of Readiness and Response, headquartered in Atlanta, Georgia. This announcement will close at 11:59 PM, on the day that 100 applications have been received or on the closing date, whichever is first.

As a Data Scientist, you will: Gather data from multiple sources and perform data processing, exploratory data analysis, anomaly detection, measurement, unstructured data analysis, interpretation of findings, predictive/prescriptive modeling, presentation, and system automation. Design, develop, implement, and maintain scalable applications, automated data pipelines, and integrated data systems using programming languages such as R and Python to support complex epidemiologic, analytic, and public health program functions.

Define and develop statistical and advanced analytic methods and solutions for high-profile data science projects and perform predictive and prescriptive modeling and algorithmic solution development. Establish data elements, definitions, codes, and standards; promote use of a data dictionary and adherence to conventions and standards; and develop/administer quality control and data verification processes, file conversion/consolidation, testing, maintenance, and backup requirements.

Work closely with Data Engineering, Product Management, User Experience, subject-matter experts, and other business units.

WHAT WE ARE LOOKING FOR Basic Qualifications: 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 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: Collecting, processing, analyzing, and visualizing large, complex datasets from multiple sources. Utilizing analytic tools using programming languages such as R or Python to design, develop and/or maintain applications and data.

Developing statistical and artificial intelligence/machine learning models to support surveillance, research, and decision-making. Implementing data standards, governance, and quality assurance processes. Collaborating with multidisciplinary teams to provide technical consultation, prepare analytical products, and communicate findings to technical and non-technical audiences. 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