This vacancy is being filled through the OPM's Direct Hire Authority. All applicants who meet the basic and minimum qualification requirements will be sent to the selecting official for consideration. Traditional rating and ranking of applications and veteran's preference does not apply. You must be able to report to 1 of the advertised duty stations. Position(s) may be filled in the following locations: Washington D.C., Dallas, TX, Houston, TX, Lakewood, CO, Oklahoma City, OK, Tulsa, OK

Duties

Serves as a Statistician (Data Scientist) within Analytics and Compliance Planning (ACP) and oversees and directs research and analysis on risk and likelihood of payment and reporting noncompliance to generate compliance and audit cases. Develops new metrics, models, and algorithms for measuring risk, reviews past methods, coordinates with agency stakeholders on the analytic needs of ONRR's audit/compliance community, and continually improves risk models and measurement. Conducts inferential and predictive statistical analyses to explore data, test hypotheses, interpret statistical output, visualize data, and inform decisions. Leverages expertise in a programming language such as R, Python, or SAS to enable advanced analyses and implement model training and prediction. Uses experience with data visualization software such as Microsoft Power BI or Tableau to explore data and present polished graphical representations of findings to project stakeholders. Creates and updates analytical process flows in software such as Alteryx or SAS to empower other users across ONRR to use the tools, models, and predictions created by ACP. Translates complex concepts, findings, and limitations into concise, plain language. Closely ties findings and conclusions into the agency mission, original problem statement, and team objectives. Conducts research of academic papers, peer-reviewed publications, industry journals, technical reports, and other literature to gather comprehensive and relevant information that supports organizational objectives and decision-making processes.

Requirements

Qualifications

All applicants for this position must possess one of the following basic requirements: 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. (NOTE: YOU MUST PROVIDE LEGIBLE TRANSCRIPTS SHOWING COMPLETED COURSEWORK AND DEGREE(S) AWARDED AS VERIFICATION OF YOUR EDUCATION). In addition to meeting the basic eligibility requirements, applicants must have the following specialized experience. At the GS-12 level, you must meet the following qualification: One year of specialized experience equivalent to at least the GS-11 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) Research and apply statistical and/or mathematical techniques and accurately interpret results; 2) provide support in developing statistical and/or mathematical risk models and analytical and algorithmic methods that test hypotheses and refine models; 3) meet with management or employees to interpret, explain and document methods, and results as they relate to statistics, risk and analytical models; 4) deliver training or provide guidance to peers and other employees for techniques and best practices in interpreting results from a statistical and/or mathematical risk model. At the GS-13 level, you must meet the following qualification: One year of specialized experience equivalent to at least the GS-12 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) Develop or revise an agency or organization's statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk; 2) develop procedures for statistical model data integration, query authoring, manipulation, and output related to financial, economic, or actuarial risk; 3) develop, review, and enhance an agency or organization's financial, economic, or actuarial risk models and analytical methods to test hypotheses and refine models; 4) lead and conduct meetings with stakeholders or technical representatives to interpret, explain and document methods, results, and interpretations as they relate to statistics, risk and analytical models; 5) develop and deliver training or provide guidance to peers and other audiences on conducting and interpreting results from statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk. Applicants must carefully review the information in the "How You Will Be Evaluated" section for important information and instructions pertaining to the multi-hurdle assessment process for this position. Only experience and education obtained by the closing date of this announcement will be considered. 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). You will receive credit for all qualifying experience, including volunteer experience.

Education

You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: (1) official or unofficial transcripts are acceptable, or (2) you may submit a list with all of your courses, grades, semester, year, and credit for the course. All materials must be submitted by the closing date of the announcement. Note: PDF Portfolio documents will not be processed or accepted as they appear as a one-page document.

Only education from institutions which are accredited or preaccredited/candidate for accreditation may be used to meet education requirements.

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 further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/

Contacts

• Address Office of Natural Resources Revenue 1849 C Street NW Washington, DC 20006 US
• Name: Brandon Salazar
• Email: brandon_salazar@ibc.doi.gov