This position is located in the Division of Insurance and Research, Financial Modeling and Research Section and provides support in the areas of data science and complex analytics, including the use of machine learning and artificial intelligence techniques to support the mission of the Division and the Corporation. Additional selections may be made from this vacancy announcement to fill identical vacancies that occur subsequent to this announcement.

Duties

Conducts empirical studies and analyses using AI/ML techniques to analyze structured, semi-structured, or unstructured data. Identifies methods, processes, algorithms, tools, and systems to generate and interpret findings from varied structured and unstructured datasets. Develops algorithms and tools for data manipulation and processing, as well as the use of data visualization techniques. Develops and maintains expertise in the efficient use of cloud technologies (including Microsoft Azure Databricks and Apache Airflow), statistical programming languages and software (including Python and SQL), and distributed computing software and databases (such as Apache Spark and PySpark). Provides technical leadership and serves as team lead on data analysis projects, including projects that use complex analytic approaches common to the field of data science including AI/ML techniques, Natural Language Processing (NLP), statistical analysis, geographic analysis, data visualizations, and application/model development. Leads in the development of applications and visualizations of geographic data for analyses of climate and other risks; demonstrates proficiency in evolving Geographical Information System (GIS) mapping capabilities, including internal and external geographic datasets and mapping software (such as Google Maps API or ArcGIS). Translates concepts, findings, and results into concise, plain language; closely ties conclusions to the agency mission, original problem statement, and team objectives

Requirements

Qualifications

Qualifying experience may be obtained in the private or public sector. 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). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.  Additional qualifications information can be found here. Basic Requirements: 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. In addition to the basic requirements stated above, applicants must also possess specialized experience. To qualify, applicants must have completed at least one year of specialized experience equivalent to at least the GS/CG-14 grade level or above in the Federal service. Specialized experience is experience that includes: (1) conducting analyses using machine learning algorithms including at least one of the following: neural networks, random forest, boosting, K nearest neighbors, support vector machines, K-means clustering, and Natural Language Processing; (2) conducting analyses using large datasets, such as financial, economic, climate and/or geographic datasets; and (3) writing code to conduct analyses using at least two of the following languages or statistical software or technologies: Python, R, SAS, Stata, Julia, Matlab, Octave, or Spark. Applicants eligible for ICTAP (Interagency Career Transition Assistance Program) must achieve a score of 80 or higher in the online assessment to be determined “well qualified” for this position. For more information, click here.

Education

See requirements stated under QUALIFICATIONS.

Contacts

• Address Federal Deposit Insurance Corporation FDIC Human Resources Branch 3501 Fairfax Drive HRB (PA-1730-5007) Arlington, Virginia 22226 United States
• Name: John Morris
• Phone: 703-562-6407
• Email: [email protected]