Find & Apply For Statistician Jobs in Washington, D.C.

The Division of Economic and Risk Analysis (DERA) is seeking early career Statisticians with strong analytical skills and attention to detail. As a Statistician, you will be part of a team that manages and analyzes specialized, high-frequency market microstructure data to support the SEC's rulemaking and oversight mission. DERA emphasizes data and analysis quality, and monitoring advances in the tools available to analyze such data.

Qualifications:

Applicants are responsible for confirming all required materials are submitted by the closing date of the announcement . Please check the How You Will Be Evaluated and Required Documents sections carefully, as missing documents will render the application incomplete and ineligible for review. Qualifying experience may be obtained in the private or public sector. 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. All qualification requirements must be met by the closing date of this announcement.

BASIC REQUIREMENT

: A.

Degree:

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.

MINIMUM QUALIFICATION REQUIREMENT

: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement. SK-11 : Applicant must have at least one year of specialized experience equivalent to the GS/SK-9 level: 1. Evaluating economic data for trends, completeness, and accuracy; AND 2. Applying statistical methods and procedures to analyze quantitative data; AND 3. Interpreting statistical results to support studies, surveys, or program decisions.

OR Education:

Successful completion of a Ph.D. or equivalent doctoral degree, or three full years of progressively higher-level graduate education leading to such a degree, in a field directly related to the position.

ACCOMPLISHMENT RECORD COMPETENCIES

Your Accomplishment Record narratives should address the following competencies. See the How You Will Be Evaluated section below for more information: Competency 1: Statistical Expertise - Performs and interprets data analysis. Competency 2: Critical Thinking - Considers a variety of factors, general and subject matter-specific, when making decisions and determining next steps in a case. Competency 3:

Technical Communication:

Translates technical information into non-technical terms and accurately convey technical information to end users (e.g., staff, management) and outside parties, including the technical documentation of applications, systems, Standard Operating Procedures, etc. Competency 4: Workload Management - Effectively prioritizes workload in a way that accommodates unforeseen developments and achieves successful outcomes.