Over 1 Million Paying Vacancies Available. Discover Your Dream Vacancy with Us!

Are you looking for a Data Scientist, CG-1560-07/09 (FPL 12) (Public Advertisement)? We suggest you consider a direct vacancy at Federal Deposit Insurance Corporation in Washington. The page displays the terms, salary level, and employer contacts Federal Deposit Insurance Corporation person

Job opening: Data Scientist, CG-1560-07/09 (FPL 12) (Public Advertisement)

Salary: $58 585 - 122 856 per year
Published at: May 03 2024
Employment Type: Full-time
This position is located in the Division of Resolutions and Receiverships, HQ or Dallas Regional Office of the Federal Deposit Insurance Corporation and provides support in the areas of data science, data modeling and analytics work of the organization. Additional selections may be made from this vacancy announcement to fill identical vacancies that occur subsequent to this announcement.

Duties

-Identifies, gathers, and analyzes a range of financial information pertaining to FDIC-insured commercial banks and thrifts, asset resolution strategies, financial market benchmarks and industry trends.

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 meeting the Basic Requirements above, applicants may qualify at the CG-07 level by one of the following: Experience: One year of specialized experience equivalent to at least the 5-grade level or above in the Federal service. Specialized experience is experience preparing reports, design tables and charts of mathematical and data modeling theories in support of financial modeling needs. -or- Education: Completion of 1 full year of graduate level education, or eligibility under the Superior Academic Achievement (SAA) with completion of a bachelor's degree. If utilizing SAA, you must submit your transcripts or proof of your national honor society membership.  Click here for Superior Academic Achievement qualification requirements. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work. -or- Combinations of education and experience: A combination of graduate level education and specialized experience as described above that together meet the qualification requirements for this position. In addition to meeting the Basic Requirements above, applicants may qualify at the CG-09 level by one of the following: Experience: One year of specialized experience equivalent to at least the 7-grade level or above in the Federal service. Specialized experience is experience supporting financial modeling needs; identifying and evaluating data modeling theories and analytics; researching and collecting financial data; and utilizing computer programming skills such as Python, R, VBA and other statistical tools to manipulate various economic scenarios. -or- Education: Applicants must possess a master's or equivalent graduate degree, or 2 full years of progressively higher level education leading to such a degree, or LL.B. or J.D., if related. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work. -or- Combinations of education and experience: A combination of graduate level education and specialized experience as described above that together meet the qualification requirements for this position.

Education

See requirements stated under QUALIFICATIONS.

Contacts

  • Address Federal Deposit Insurance Corporation FDIC Human Resources Branch 600 North Pearl Street Suite 700 Dallas, Texas 75201 United States
  • Name: D. Angelica Summers
  • Phone: 972-761-8096
  • Email: [email protected]

Similar vacancies

Senior Data Scientist, CG-1560-15 Feb 15 2024
$180 563 - 252 500

Responsible for the ongoing training and mentoring of junior analytic team members.  Provides sound data science-related guidance and leadership to meet the complex technical needs of the Sectio...

Data Scientist, CG-1560-15 Sep 21 2023
$170 779 - 250 000

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 ...

Data Scientist, CG-1560-15 Sep 21 2023
$170 779 - 250 000

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 ...

Data Scientist, CG-1560-15 Sep 06 2023
$170 779 - 250 000

- Provides technical leadership and serves as team lead on complex data analysis projects, including projects that use complex analytic approaches common to the field of data science including AI...

Principal Data Scientist Jan 17 2024
$163 964 - 191 900

The Principal Data Scientist has the primary responsibility of empowering the Library of Congress (Library) and Chief Financial Officer (CFO) to make reality based, historically informed, data driven ...