Survey Statistician (Data Scientist), GS-1530-13, Census-DOC-SAB (Data Scientist)

U.S. Census Bureau
U.S. Census Bureau

Job Overview

SummaryThis vacancy is for a Survey Statistician (Data Scientist)position in the Office of Survey and Census Analytics,located at the US Census Bureau Headquarters in Suitland, Maryland. The Census Bureau is accessible from the Metro Rail Green LineSuitland Station.This Job Opportunity Announcement may be used to fill other Statistician(Data Scientist), GS-1530-13, FPL 13positions within the Census Bureau in the same geographical location with the same qualifications & specialized experience.ResponsibilitiesLeverage analytical, statistical, and programming techniques to collect, combine, analyze and interpret large and/or complex data sets to develop data-driven organizational solutions.Advise management of the advantages and disadvantages of various data science approaches, as well as potential applicability of new techniques, including applications of analytic tools, computer languages and methodologies.Identify and utilize a wide variety of internal and external data sources and collaborate with Census Bureau directorates to develop data driven solutions across the organization while addressing any potential barriers associated with analyzing data.Engage in outreach and partnership inter-and intra-agency activities to convey information, solicit comments for critical review by the greater scientific community, learn about new skills, methodologies or programs, and develop satisfied solutions.RequirementsConditions of EmploymentU.S. citizen.Suitable for Federal employment.Time-in-grade requirements must be met by the announcement closing date.Registered for Selective Service, if applicable. (www.sss.gov)You may be required to complete a financial disclosure (OGE-450).Applicants must meet all qualification requirements by the closing date of this announcement.This vacancy is advertised under 2 different announcements. Read the ‘Who May Apply’ section carefully to determine your eligibility. If you are not eligible under this announcement, please see ADFO-2020-0007, Survey Statistician (Data Scientist), GS-1530-13, Census-DE-SAB.A probationary period may be required.This position is ELIGIBLEfor telework; additional criteria will be required (e.g., supervisory approval).This is a BARGAININGunit position.Relocation expenses may be paid.Due to theCOVID-19pandemic, and individual statesbeing indifferent phases of reopening, once the selectee becomes an employee, thereport date to the official duty station/facility may be delayed until such timethat management notifies the employeeof their requirement to report. Until it is safe to relocate, the employeemaybeapproved totelework to the maximum extent possible, up to and including full-time.Please note that with regard to the paid relocation there are regulatory time limitations and activities that the selectee once hired as an employee must meet in order to receive reimbursement, and if the employee fails to properly adhere to these time limitations and activities the employee will no longer be entitled to reimbursement for relocations expenses.QualificationsMinimum Education Requirement: 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.orCombination 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.ANDSpecialized Experience: For the Grade 13, you must have one year of experience at a level of difficulty and responsibility equivalent to the Grade 12 in the Federal service. Experience for this position includes:Experience conducting and researching the following: regression analysis, statistical analysis, modeling, machine learning, data engineering, mathematical programming, Natural Language Processing, auto coding and data visualization to successfully accomplish tasks associated with department and/or organizational goals. Experience applying appropriate concepts and theories in the development of data-focused principles, practices, techniques, tools and solutionsto deliver meaningful outcomes on critical decisions.Experience conducting research and using programming software to analyze big data sets used to develop data driven solutions. Experience having worked across an organization at many levels to increase understanding on best practices for using data to deliver solutions dependent on the audience.Experience having worked with complex or big datasets to develop data driven solutions. Experience having workedin collaborative positions across organizations toincrease overall understanding on how to use data to deliver solutions to streamline operations.Experience developing presentation on technical topics and presenting information to a variety of audiences in a comprehensible manner.Experience attending professional events and networking throughout to gain new understandings of methodologies/tools available to further develop skillset. Experience having lead discovery processes with partners and stakeholders to validate data or analytics requirements and expected outcomes.Education: Can not be substituted at this grade level.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. You will receive credit for all qualifying experience, including volunteer experience.EducationAdditional InformationThe following links provide information on various hiring authorities that may enable you to apply through merit assignment procedures, or be eligible for a non-competitive appointment.CTAPThe Department of Commerce provides reasonable accommodations to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the Human Resources Office. The decision on granting reasonable accommodation will be on a case-by-case basis. TTY users can contact the Human Resources Office via the Federal Relay Service, 1-800-877-8339.

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