Statistician, GS-1530-11/12 FPL GS-12 (DH) en Department of Education
Department of Education · San Francisco, Estados Unidos De América · Onsite
- Professional
- Oficina en San Francisco
Not Required
Duties
APPLICATION LIMIT: This vacancy announcement is limited to the first 200 applications received and will close at 11:59PM Eastern Time on the day that we receive the 200th application, or at 11:59PM Eastern Time on the listed closing date, whichever occurs first. We encourage you to read this entire vacancy announcement prior to submitting your application. As a Statistician, GS-1530-12, the below duties are at the full performance level At the lower grade level, the incumbent performs assignments of similar nature with less complexity and responsibility, you will be responsible for: • Uses statistical and other analytic tools to define structured structured query language, regression, and other modeling concepts - on large and unstructured data files. • Uses programming platforms to support development of analytical products, such as business intelligence dashboards and modeling applications. • Interprets reports, white papers, and other briefing materials that summarize complex statistical analysis • Understanding risk and other segmentation strategies using advanced modeling techniques to reduce default. • Forecasting macroeconomic models relating to a stress-tested scenario analysis.
Requirements
You must meet all qualification requirements within 30 days of the closing date of this vacancy announcement. 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. We will consider all qualifying experience, including any volunteer experience. Conditions of Employment TELEWORK ELIGIBILITY: You may be eligible for occasional telework in which you are required to report to the office on a regular basis. Participation must be requested and approved by the supervisor and there must be a signed telework agreement. The number of telework days approved is determined by the agency policy, emergency situations, the approval of your immediate supervisor. You must have access to high speed internet and cell phone service meeting current Agency policy from the approved work location.
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.
Education
This position has a positive education requirement. 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. You may meet the minimum qualifications of this position by meeting the following education options. GS-11 Ph.D. or equivalent doctoral degree or 3 full years of progressively higher-level graduate education leading to such a degree or LL.M., if related or A combination of specialized experience and education that when taken as a percentage of the required education and experience total 100% or more. GS-12 - Education cannot be substituted for experience for this position and grade level. Foreign Education: Education completed in foreign colleges or universities may be used to meet education requirements if you can show that the foreign education is comparable to that received in an accredited educational institution in the United States. It is your responsibility to provide such evidence when applying. If you are using foreign education to meet qualification requirements, you must submit a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, please click Foreign Education.
Other Information
Veterans’ Career Counseling: If you are a veteran interested in receiving tips on preparing a Federal resume and/or how to prepare for an interview, you may email [email protected] to schedule a session with a career counselor (“Veterans Counseling Session” should be placed in the subject line of the email). Student Loan Default: If selected for this position, we will verify that you have not defaulted on any loan funded or guaranteed by the U.S. Department of Education. If you are found to be in default, we will contact you to make arrangements for repayment prior to making an official offer of employment. Suitability and Investigation: If selected for this position, you will be required to complete the Declaration for Federal Employment (OF-306) to determine your suitability for federal employment and successfully complete a pre-appointment investigation/background check. Essential/Non-Essential: This position is considered essential for purposes of reporting to work during federal government closures. Financial Disclosure: This position does not require financial disclosure. Bargaining Unit: This position is included in the bargaining unit (American Federation of Government Employees (AFGE) Local 252). Selections: Agencies have broad authority under law to hire from any appropriate source of eligibles and may fill a vacancy in the competitive service by any method authorized. We may make additional selections from this vacancy announcement within 90 days from the date the selection certificates are issued, should vacancies occur. We may also share selection certificates amongst program offices across the agency. Preferred qualifications: Applicant's resume must point to specific examples that will support experience with general purpose programming language such as Python, Java, or C/C++ along with any certifications to support claim.
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