This position is located in the U.S. Department of Labor (DOL), Bureau of Labor Statistics (BLS). All qualified applicants are encouraged to apply. The Required Documents section of this announcement identifies all documents that must be uploaded in order to be considered a complete application package. Applicants that do not submit a complete application will not receive further consideration.

Duties

Directs the Office of Survey Methods Research (OSMR), including the Mathematical Statistics Research Center, the Behavioral Science Research Center, and the Data Science Research Center. Evaluates difficult and complex problems in BLS programs and advises the Commissioner and others in BLS leadership in the areas of survey methodology, statistical methods, and data science, including the applicability of advanced techniques for improving BLS surveys, increasing quality and user relevance, and/or reducing cost. Participates in the development of policy, long-range plans and programs of the BLS, and in the formulation of statistical standards regarding survey design, data collection, coding, statistical computing, data analysis, and data dissemination for BLS data systems and products. Serves as the primary survey methodological consultant to BLS programs covering issues dealing with mathematical statistics, survey design and methodology, and the application of the behavioral sciences to the design of questionnaires, data collection procedures, and user-friendly computer systems for data collection and dissemination. Participates in the career development of BLS professional staff by conducting seminars and participating in other staff development activities.

Requirements

Qualifications

Candidates must possess technical and management experience and have developed the knowledge and skills required for effective performance of the specific duties of the position. Candidates must have had experience at a major management level (normally equivalent to the GS-15 level in the federal service). To qualify for this position, all applicants must write a narrative in the spaces provided detailing accomplishments that would satisfy each of the ECQs and MTQs. You must address each ECQ and MTQ separately. If you fail to do so, your application will be rated ineligible. MANDATORY EXECUTIVE CORE QUALIFICATIONS (ECQs): In writing your responses to the Executive Core Qualifications (ECQs), your narrative must address each ECQ separately. Each ECQ should contain at least two examples describing your experiences and accomplishments/results. NARRATIVE RESPONSES TO ECQS MUST NOT EXCEED 10 SINGLE-SPACED PAGES. For additional guidance, applicants may visit the Office of Personnel Management's Guide to Senior Executive Qualifications. Applicants are encouraged to follow the Challenge, Context, Action, and Result model outlined in the guide. 1. Leading Change: This core qualification involves the ability to bring about strategic change, both within and outside the organization, to meet organizational goals. Inherent to this ECQ is the ability to establish an organizational vision and implement it in a continuously changing environment. 2. Leading People: This core qualification involves the ability to lead people toward meeting the organization's vision, mission, and goals. Inherent to this ECQ is the ability to provide an inclusive workplace that fosters the development of others, facilitates cooperation and teamwork, and supports constructive resolution of conflicts. 3. Results Driven: This core qualification involves the ability to meet organizational goals and customer expectations. Inherent to this ECQ is the ability to make decisions that produce high-quality results by applying technical knowledge, analyzing problems, and calculating risks. 4. Business Acumen: This core qualification involves the ability to manage human, financial, and information resources strategically. 5. Building Coalitions: This core qualification involves the ability to build coalitions internally and with other Federal agencies, State and local governments, nonprofit and private sector organizations, foreign governments, or international organizations to achieve common goals. MANDATORY TECHNICAL QUALIFICATIONS (MTQs): In writing your narrative responses to the MTQs, please give examples and explain how often you used your skills, the complexity of the knowledge possessed, the level of people you interacted with, the sensitivity of the issues you handled, etc. APPLICANTS SHOULD LIMIT THEIR NARRATIVE RESPONSES TO ONE (1) SINGLE-SPACED PAGE PER EACH MTQ WITH A FONT SIZE NO SMALLER THAN POINT 12. It is recommended that applicants draft their MTQs in a Word document first, then cut and paste into the spaces provided following each MTQ to ensure length requirements. 1. Extensive training and research experience in one or more areas of mathematical statistics, survey methodology, behavioral science, or data science. 2. Ability to identify and achieve efficiencies and improvements in survey methodology, data collection and analysis. 3. Substantial experience in leading and managing research and development programs and projects in mathematical statistics, survey methodology, behavioral science and/or data science that requires close collaboration and coordination among multiple stakeholders.

Education

This position has a Positive Education Requirement.

1529 - Mathematical Statistics Series

A. Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

OR

B. Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

1530 - Statistics Series

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.

1560 - Data Science Series

A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

OR

B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

You must provide a copy of your transcripts from an accredited institution. Any applicant falsely claiming an academic degree from an accredited school will be subject to actions ranging from disqualification from federal employment to removal from federal service.

If your education was completed at a foreign college or university, you must show comparability to education received in accredited educational institutions in the United States and comparability to applicable minimum coursework requirements for this position. Click Evaluation of Foreign Education for more information.

Contacts

• Address Bureau of Labor Statistics 200 Constitution Avenue NW Washington, DC 20210 US
• Name: Robert White
• Phone: 202-693-2457
• Email: [email protected]