The Office of Inspector General (OIG), works within the U. S. Department of Transportation (DOT) to promote efficiency and effectiveness, and prevent or stop waste, fraud and abuse in departmental programs. OIG also consults with the Congress about programs in progress and proposed new laws and regulations. The Inspector General Act of 1978 gives the Office of Inspector General autonomy to do its work without interference.

Duties

Leads projects using advanced analytics techniques such as machine learning, natural language processing, robotic process automation, and artificial intelligence, to include the research, design, development, deployment, and enhancement of enterprise-wide analytics solutions.

Requirements

• U.S. Citizen
• Pre-employment drug testing is required
• You must meet the specialized experience to qualify
• Successful completion of a background security investigation
• Required documents must be submitted by the closing date
• Males Born after 12-31-1959 must be registered for Selective Service

Qualifications

Federal experience is not required. The experience may have been gained in the public sector, 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/year, and indicate the number of hours worked per week, on your resume.You must meet the following requirements by the closing date of this announcement: Basic Requirements: 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 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. For more information on qualifications please refer to OPM's Qualifications Standards. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:Specialized Experience:You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment. Experience using one or more relevant data science programming languages such as, R, Python, SQL; the use of an integrated development environment (IDE) such as, RStudio. Experience with evaluative methods based on analytical skills and experiences balancing project and technological risk of the advanced solution's design, development and implementation. Experience defining data science problems and generating solution designs. Experience communicating a synthesis of data science topics or issues and analytics solutions. Experience applying effective communication, both orally and in writing to articulate findings and recommendations. Experience with data preparation methods such as, feature creation, exploratory data analysis, model creation, and data visualization. Experience developing machine learning and AI models. Experience using data analysis, data visualization, and data reporting tools such as Power BI or Tableau. Experience researching and applying internal guidelines, policies, and procedures in order to adapt them to varying circumstances, including resolving conflicts between directives and guidance from different sources. Education This position has a positive education requirement: A copy of your transcripts or equivalent documentation is required for positions with an education requirement, or if you are qualifying based on education or a combination of education and experience. An official transcript will be required if you are selected. Failure to do so will result in loss of consideration.Schools must be accredited by an accrediting institution recognized by the U.S. Department of Education. Accreditation may be verified at the following website: www.ed.gov/accreditation.FOREIGN EDUCATION: Foreign education must be evaluated by a private professional organization specializing in interpretation of foreign education credentials or an accredited U.S. educational institution in terms of equivalence to a degree acquired at an American college or university. A copy of the evaluation results must be included, otherwise your foreign education will not be considered. For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.

Education

This job does not have an education qualification requirement.

Contacts

• Address DOT, OFFICE OF THE INSPECTOR GENERAL 1200 New Jersey Ave SE West Building, Room W71-123 Washington, District of Columbia 20590 United States
• Name: Karen Muller
• Phone: 202-366-1490
• Email: [email protected]