Statistician

Administration for Children and Families; Washington (District of Columbia); On-site; USD 80,000 - 120,000; Full time

Job summary

Administration for Children and Families, part of the Department of Health and Human Services, seeks a data analytics professional in the Washington, DC area to apply statistical methods and machine learning on large datasets. The role emphasizes turning analytical results into practical insights for program evaluation and policy decisions.

The position requires a strong background in statistics, data science workflows, and a demonstrated ability to communicate complex findings to diverse

Qualifications

• Degree requirements include 15 semester hours in statistics and 9 hours in related sciences or social sciences.
• One year specialized experience at GS-12 level performing statistical data analysis, machine learning on large datasets, and translating findings for technical and non-technical audiences.

Skills

Statistical analysis

Data analytics

Machine learning

Communication of results

Education

Bachelor's degree with statistics coursework and related sciences

Tools

Python

R

Job description

This position is located in the Department of Health and Human Services, Administration for Children and Families, headquartered in Washington, District of Columbia. This announcement will close at 11:59 PM, on the day that 100 applications have been received or the closing date of the announcement, whichever comes first.

WHAT WE ARE LOOKING FOR

Basic Qualifications: You must possess one of the items listed below. A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. -OR- B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: Minimum Qualifications: You must have one year 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: Applying statistical, data analytic, and machine learning techniques to large, complex datasets to evaluate program performance, identify trends and risk factors, and support evidence-based decision-making. Independently designing and executing data management and analytic workflows involving large-scale data cleaning, transformation, and statistical modeling; using Python or R. Applying methods such as multivariate analysis and machine learning. Translating complex analytical findings into actionable insights through data visualization, dashboards, and presentations for 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; s