This position is located in the Criminal Division, Office of Policy and Legislation. The incumbent is responsible for managing, examining, analyzing, and synthesizing primary data on national crime and victimization patterns, national criminal justice, law enforcement strategies, and prosecution policies to help the Criminal Division understand its implications and to provide guidance on how to leverage available data in support of prosecution policies, resource allocation, and targeting.

Duties

As a Statistician (Data Scientist), you will: Identify new or improved methods for obtaining data; and determine the most appropriate methods for analyzing and interpreting available data in support of prosecution policies and resource allocations decisions. Develop strategies for data collection and design data collection protocols. Design and employ appropriate algorithms to discover patterns in data sets. Conduct rigorous evaluations and develop models to conduct and support in-depth analysis of data related to national crime and victimization patterns, national criminal justice, law enforcement strategies, and prosecution policies. Use data visualization tools to integrate multiple criminal justice and law enforcement data into visualizations that convey clear results to Division leadership and subject matter experts via dashboards, reports and/or presentations. Use federal, state, and local information sources, both quantitative and qualitative, as well as social and demographic information drawn from published research and available data sources, to provide a frame of reference and point of comparison for analyses. Review research studies involving criminal justice and law enforcement research studies, data analyses, and program evaluations for methodological soundness and policy relevance to provide Division and Department managers with information about new findings and emerging developments in the field. As the federal agency whose mission is to ensure the fair and impartial administration of justice for all Americans, the Department of Justice is committed to fostering a diverse and inclusive work environment. To build and retain a workforce that reflects the diverse experiences and perspectives of the American people, we welcome applicants from the many communities, identities, races, ethnicities, backgrounds, abilities, religions, and cultures of the United States who share our commitment to public service.

Requirements

• You must be a U.S. Citizen to qualify for this position.
• You must undergo a pre-employment security investigation.
• Selective Service Registration is required, as applicable.
• You must meet all qualification requirements by the closing date of this announcement.
• Direct Deposit: All federal employees are required to have federal salary payments made by direct deposit to a financial institution of their choosing.
• The Criminal Division participates in the Electronic Employment Eligibility Verification Program. E-Verify helps employers to confirm the employment eligibility of all newly hired employees. For more information, visit https://www.e-verify.gov/.

Qualifications

Grade Level Qualifications: To qualify at the GS-11 grade level, applicants must have: One year of specialized experience in either federal or non-federal service that is equivalent to the GS-09 grade level. Examples of specialized experience include: conducting analytical studies or research projects using statistical techniques; employing algorithms to discover patterns in data sets; and extracting and/or restructuring data files for analysis. OR 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 both education and experience in which the total percentages must equal at least 100 percent to qualify an applicant for that grade level. To qualify at the GS-12 grade level, applicants must have: One year of experience in either federal or non-federal service that is equivalent to the GS-11 grade level. Examples of specialized experience include: conducting analytical studies or research projects using statistical techniques on crime, social science, or public health data; designing and employing algorithms to discover patterns in data sets; analyzing and communicating technical requirements with stakeholders; providing recommendations on interpreting data from multiple data sources; and manipulating databases using industry standard programming software packages (ex. R, SAS, STATA, SQL, etc.). To qualify at the GS-13 grade level, applicants must have: One year of experience in either federal or non-federal service that is equivalent to the GS-12 grade level. Examples of specialized experience include: conducting analytical studies or research projects using statistical techniques on crime, social science, or public health data; analyzing and communicating technical requirements with stakeholders; identifying analytical and statistical solutions; providing recommendations on interpreting data from multiple data sources; and manipulating databases using industry standard programming software packages (ex. R, SAS, STATA, SQL, etc.). Series Qualifications: In order to qualify for the GS-1530 series, you must have one of the following: A degree that includes 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. Combination of education and experience - courses as shown 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. Combination of Education and Experience - Your current education completed is credited as a percentage of the education required for the grade level and your current experience is credited as a percentage of the total experience required for the grade level. The two percentages are added and must equal 100% in order to qualify for the desired grade level. All academic degrees and coursework must be completed at a college or university that has obtained accreditation or pre-accreditation status from an accrediting body recognized by the U.S. Department of Education. For a list of schools that meet this criteria, see www.ed.gov. Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For more information about this requirement, please visit the U.S. Department of Education website for Foreign Education Evaluation. All documentation must be in English or include an English translation.

Education

Please see requirements as described in Qualifications

Contacts

• Address Office of Policy and Legislation c/o Human Resources 1400 New York Avenue NW, Suite 600 Washington, DC 20004 US
• Name: Human Resources
• Phone: (202) 514-0361
• Email: [email protected]