Statistician, GS-1530-11/12 FPL GS-12 (DH)

This position is located in federal student aid, various program offices in Washington, DC; Atlanta, GA; Chicago, IL; Dallas, TX; Denver, CO; Kansas City, KS, Seattle, WA. As a Statistician, you are responsible for increasing opportunities for student access to higher education by helping students and their families seek, obtain, and make the best use of all financial resources.

**Qualifications:**
Minimum Qualification Requirements You may meet the minimum qualifications for the GS-11/12, if you possess the specialized experience. Specialized Experience for the GS-11: One year of experience in either federal or non-federal service that is equivalent to at least a GS-09 performing two (2) out of three (3) of the following duties or work assignments: 1. Experience using statistical and machine learning methods, including regression, classification, and ensemble techniques, to asses operational and financial data to identify trends and performance insights for dashboards and/or predictive models. 2. Experience in using a database management language such as Structured Query Language (SQL) as well as programming language (Python, Java, or C/C++) to develop analytical applications. 3. Experience supporting data validation and quality assurance within analytical workflows using Programing language (Python and SQL, etc) ensuring accuracy of data presented in dashboards and/or predictive models. OR EDUCATION (see EDUCATION SECTION of the vacancy announcement) OR A combination of both education and experience in which the total percentages must equal at least 100 percent to qualify an applicant for that grade level. Specialized Experience for the GS-12: One year of experience in either federal or non-federal service that is equivalent to at least a GS-11 performing two (2) out of three (3) of the following duties or work assignments: 1. Experience applying multivariate regression, supervised classification, and ensemble methods (random forests, gradient boosting) to operational and financial system data to identify key performance drivers and/or develop predictive insights visualized through interactive dashboards and/or predictive modeling. 2. Experience leveraging database management languages such as SQL, alongside programming languages (Python, Java, or C/C++), to design and develop sophisticated analytical applications in a cloud-based environment. 3. Experience implementing robust data validation, quality assurance, and/or monitoring processes within data pipelines and workflows using programming languages and specialized tools to ensure the accuracy of loan-based datasets visualized through interactive dashboards and/or predictive modeling. Knowledge, Skills, and Abilities (KSAs) GS-11 The quality of your experience will be measured by the extent to which you possess the following knowledge, skills and abilities (KSAs). You do not need to provide separate narrative responses to these KSAs, as they will be measured by your responses to the occupational questionnaire (you may preview the occupational questionnaire by clicking the link at the end of the Evaluations section of this vacancy announcement). 1. Skills in applying statistical and other modeling concepts, techniques, and evaluation methods to data. 2. Skills in using coding and programming platforms to develop dashboards and other analytical products. 3. Ability to clearly communicate statistical and analytical information to varied audiences. 4. Ability to craft risk models using established advanced modeling techniques. Knowledge, Skills, and Abilities (KSAs) GS-12 The quality of your experience will be measured by the extent to which you possess the following knowledge, skills and abilities (KSAs). You do not need to provide separate narrative responses to these KSAs, as they will be measured by your responses to the occupational questionnaire (you may preview the occupational questionnaire by clicking the link at the end of the Evaluations section of this vacancy announcement). 1. Ability to independently apply statistical and other modeling concepts, techniques, and evaluation methods to data. 2. Skill in utilizing programming platforms to independently use web development coding to develop analytical products. 3. Ability to clearly communicate statistical and analytical information to varied audiences to include management and outside experts. 4. Ability to independently craft risk models using innovative modeling techniques.