Summary As a Data Scientist, you will derive insights from artificial intelligence, machine learning, and natural language processing to help ensure that the federal banking system is safe, sound, and fair. You will analyze data sets, use predictive analytics to identify emerging risks in the federal banking system, and work with bank examiners to enhance existing processes for bank supervision. Supervision Risk and Analysis Systemic Risk Identification and Support Supervision Analysis Washington, DC Responsibilities As a Data Scientist, you will: Apply data science approaches, systems, applications, and analytical tools including data management, statistical and reporting methodologies and tools, text analytics, machine learning/artificial intelligence (AI/ML) models, data visualizations, and others to perform assignments. Conduct analyses with open source (e.g., Python) and commercial products (e.g., Alteryx, AWS tools), identifying appropriate packages and tools. Extract data from multiple sources and combine them to discover patterns, test hypotheses, and make predictions that inform operational and bank supervision decisions. Use a variety of statistical programming languages and database software (such as SAS, R, Python, JavaScript, Alteryx and SQL) as well as other quantitative analysis tools and techniques such as machine learning/artificial intelligence (AI/ML) models/tools and text analytics tools. Write computer programs and code, develop dashboards, spreadsheets, reports, screens, and spatial analysis such as maps and regressions. Advise and consult on the potential benefits/uses of automation to improve the efficiency of program operations. Participate in the design of presentations and interpretations of analytical outputs tailored to specific audiences that includes interactivity and narrative storytelling where appropriate and translate concepts, findings, and limitations into concise, plain language. Requirements Conditions of Employment This position requires that the successful candidate undergo personnel vetting, which includes a background investigation and enrollment upon onboarding into "Continuous Vetting." Enrollment in Continuous Vetting will result in automated record checks being conducted throughout one's employment with Treasury. The successful candidate will also be enrolled into FBI's Rap Back service, which will allow Treasury to receive notification from the FBI of criminal matters (e.g., arrests, charges, convictions) involving enrolled individuals in near real-time. There are three key documents that contain important information about your rights and obligations. Please read and retain these documents: Noncriminal Justice Applicant's Privacy Rights, for those who undergo an FBI fingerprint-based criminal history record check for personnel vetting, which includes Rap Back, FD-258 Privacy Act Statement - FBI (this is the same statement used when your fingerprints are submitted as part of your background investigation), and SEAD-3-Reporting-U.pdf (dni.gov), (applicable to those who hold a sensitive position or have eligibility for access to classified information). Complete a one-year probationary period (unless already completed). Complete a background investigation (unless already completed). Complete a Declaration for Federal Employment to determine your suitability for Federal employment. Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer. Go through a Personal Identity Verification (PIV) process that requires two forms of identification from the Form I-9. Federal law requires verification of the identity and employment eligibility of all new hires in the U.S. Travel occasionally to attend conferences and/or training. Obtain and use a Government-issued charge card for business-related travel. Complete a financial disclosure review and resolve any ethics issues. Click here for important information about OCC ethics standards, such as the requirement that new hires divest their bank securities. Qualifications You must meet the following requirements within 30 calendar days after the closing date of this announcement: To qualify for the NB-IV level, applicants must have specialized experience equivalent to the next lower level, NB-III or GS-07 level in the federal service. This experience may have been gained in either the public or private sector. One year of experience refers to full-time work; part-time work is considered on a prorated basis. Examples of specialized experience for this position include: Experience using coding languages (e.g., SQL, Python, JavaScript, R, SAS) to conduct analysis, OR Experience using modeling applications to create forecasting models. OR You may substitute education for experience as follows: 2 years of progressively higher-level graduate education leading to a master's degree or master's or equivalent graduate degree or above. OR You may qualify by a combination of experience and education. Only education in excess of 1 year of graduate education is creditable toward meeting the specialized experience requirement. One year of full-time graduate education is considered to be the number of credit hours that the school attended has determined to represent 1 year of full-time study. If that number cannot be obtained from the school, 18 semester hours should be considered an academic year of graduate study. IN ADDITION: Applicants must also meet the individual occupational requirement: 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. The experience may have been gained in the public sector, private sector, or through volunteer service. One year of experience refers to full-time work; part-time work is considered on a prorated basis. To receive any 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. Education Please see Qualifications section for education. Additional Information This position is included in the bargaining unit. Salary range includes 25.04% locality pay. If you are a current OCC employee who previously received a waiver determination permitting you to retain bank securities due to extenuating circumstances, please note that this determination may be rescinded if the nature of your duties changes. We strongly suggest that you discuss the potential implications of any change in duties on a prior securities determination with your ethics official. We may select from this announcement or any other source to fill one or more positions. The candidate selected for this position may be credited with directly-related non-Federal experience for annual leave purposes if eligible and considered appropriate. Click all links in this vacancy announcement to view additional information and instructions. The selected candidate may have the option to work a full-time or part-time schedule at the discretion of the hiring manager. Must be a U.S. citizen or U.S. National - Please refer to "Conditions of Employment." Click "Print" to review the entire announcement before applying. The Fair Chance to Compete for Jobs Act prohibits the Department of Treasury and its bureaus from requesting an applicant's criminal history record before that individual receives a conditional offer of employment. In accordance with 5 U.S. Code § 9202(c) and 5 C.F.R § 920.201 certain positions are exempt from the provisions of the Fair Chance to Compete Act. Applicants who believe they have been subjected to a violation of the Fair Chance to Compete for Jobs Act, may submit a written complaint to the Department of Treasury by email at, FairChanceAct@treasury.gov. To learn more, please visit our page at: Treasury.gov/fairchanceact.