Job at U.S. Census Bureau
Data Scientist
- Employer
- U.S. Census Bureau (U.S. Federal Government)
- Location
- Suitland, Maryland
- Workplace
- Not supplied
- Employment
- Full-time
- Department
- U.S. Census Bureau
- Team
- Department of Commerce
- Salary
- $102,415 to $158,322 per year, as the employer lists it
- Published
- First listed on USASI
This posting comes from USAJOBS.gov, the U.S. federal government’s official employment site. The hiring agency is U.S. Census Bureau. USASI checks USAJOBS and removes this page once the announcement closes. The description below is the agency’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.
Job description
This vacancy is being filled via the Direct-Hire Authority (DHA) for a Data Scientist position in the Office of the Chief Administrative Officer located at the U.S. Census Bureau Headquarters in Suitland, Maryland. This Job Opportunity Announcement may be used to fill other Data Scientist, 1560-12/13, FPL GS-13 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.
Duties
Conducts research and statistical analysis on available data, as directed, and presents findings in suitable formats. Alters instructions, methodologies, and/or guidelines, as directed. Participates in the development of new user interfaces and supports adapting tools for displaying scientific information; implements common Management data standards and metadata schema for discoverability and interoperability of data, as directed. Performs advanced queries using database and analytical tools (e.g. SQL Server) and programming languages (e.g. Python, R, and Java) to analyze data and develop data-analytical visualizations. Defines data requirements and integration of enabling technologies to collect, extract, engineer, and transform data from traditional and nontraditional sources. Provides data science expertise to a wide range of highly complex initiatives and projects focused on the development of cutting-edge tools and resources to easily access, store, analyze, and exchange complex, high-quality data.
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