This position is located at Departmental Offices, Management Chief Financial Officer. You will serve as a Data Scientist or Statistician in the Office of the Chief Data Officer(OCDO). Your responsibilities will include overseeing the acquisition of data, combination, and preparation of data for analytic needs, execution of the analysis, generation of diagnostics, comparison of model results, and advising on a range of decisions that produces the most desirable set of outcomes.

Duties

As a Data Scientist - Interdisciplinary, you will: Plan, develop, and implement systems, processes that increase the value, availability, and accessibility of Treasury data through authoritative data standards, customer interactions, and analytics products and analyses. Initiate and oversee the entire data analytic cycle, including forming a context-relevant questions or hypothesis, identifying sources and obtaining data, processing and transforming data so it is conducive to analysis, summarizing and analyzing data to create statistical evidence, and creating and communicating results. Oversee the selection, development and utilization of various advanced analytic capabilities within the Department of the Treasury, including fraud detection, artificial intelligence applications, among others. Provide expert support to the Performance Improvement Officer and Chief Evaluation Officer in analyzing organizational health and evaluating program results.

Requirements

Qualifications

You must meet the following requirements by the closing date of this announcement. Specialized experience:For the GS-14 is defined as one year of experience at the GS-13 level, or equivalent, that is directly related to the position, and which has equipped the candidate with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Specialized experience for this position includes: - Experience developing an approach for and leading complex data projects which include all phases of the analytic cycle, including forming a context-relevant question or hypothesis, identifying sources of data and obtaining data, processing and transforming data so it is conducive to analysis, summarizing and analyzing data to create statistical evidence, and creating and communicating results.; AND - Formulates, tests, and evaluates new theories related to supervised and unsupervised machine learning, artificial-intelligence, and new frontiers of predictive analytics and data science; AND - Experience writing code in a statistical or computer programming language such as SAS, R or Python to aid in analysis; The experience may have been gained in either the public, private sector or volunteer service. One year of experience refers to full-time work; part-time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week on your resumé.

Education

The education generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. If you are qualifying based on foreign education, you must submit proof of creditability of education as evaluated by a credentialing agency. Refer to the OPM instructions.

Basic Requirements for Data Scientist, 1560:

1. 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
2. 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.

Basic Requirements for Statistician, 1530:

1. 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
2. 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.

Contacts

• Address Management Chief Financial Officer Administrative Resource Center Parkersburg, WV 26101 US
• Name: Applicant Call Center
• Phone: 304-480-7300
• Email: [email protected]