As a Data Scientist, you will derive insights from artificial intelligence, machine learning, and natural language processing to 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 Washington, DC

Duties

As a Data Scientist, you will: Apply data science approaches, systems, applications, and analytical tools including data management, statistical 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., AWS, Azure, Alteryx), 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 Python, R, Javascript, Alteryx, and SQL) as well as other quantitative 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. Design presentations and interpret 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

Qualifications

You must meet the following requirements within 30 calendar days after the closing date of this announcement: Basic requirement: 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 Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience. In addition to meeting Basic Requirement above, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the NB-IV band level in the Federal service. Examples of specialized experience for this position include: Experience using coding languages (e.g., SQL, Python, JavaScript, R) to conduct analysis, OR Experience using modeling applications to create forecasting models. 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 ensure any credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.

Education

This position has a positive education requirement. Applicants must submit a copy of their college or university transcripts(s) and certificates by the closing date of announcement to verify qualifications. If selected, an official transcript will be required prior to appointment.

Contacts

• Address Supervision Risk and Analysis/Supervision System and Analytical Support 400 7th Street SW Washington, DC 20219 US
• Name: Dekieta Bethea
• Phone: 202-679-1591
• Email: [email protected]