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Data Scientist for Recent Graduate

Data Scientist for Recent Graduates

To apply and learn more, go to USAJOBS - Job Announcement

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.

Applicants who have graduated within the last 2 years, or will graduate by May 2024, and have completed a qualifying degree or certificate from a qualifying educational institution. Veterans unable to apply within 2 years of receiving their degree, due to military service obligation, may have their eligibility period extended. The 2-year eligibility period begins upon release from active duty and may not extend beyond 6 years from degree completion (see Qualification Section).

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.

-Performs basic analysis to assist in determining techniques for data-driven analytical software to programmatically prepare, clean, and augment imperfect data for business analytics.

-Conducts analysis supporting research; prepares preliminary write-ups of findings; locates and collects relevant data to analyze a specified problem; and updates databases for data visualizations, financial modeling and data analytic initiatives concerning existing and emerging risks.

-Prepares a study plan to enhance the knowledge base of the Modeling & Analytics team and contributes to division-wide initiatives.

-Prepares preliminary report findings, recommendations, and presentations.

Conditions of Employment

Registration with the Selective Service.

U.S. Citizenship is required.  

Employment Conditions.

Completion Of Financial Disclosure May Be Required.

Minimum Background Investigation (MBI) required

Completion of FDIC Pathways Recent Graduates Program Participant Agreement is required.

The applicants selected will be offered a position in the FDIC Pathways Recent Graduates Program, on an excepted service appointment. Program and conversion requirements will be identified in the FDIC Pathways Recent Graduates Program Participant Agreement. After successful completion of all the program requirements and based on the FDIC's budget and needs, recent graduates may be non-competitively converted to a term or permanent position in the competitive service. This is a career ladder position as a Data Scientist with full performance level of CG-1560-12. However, service in the FDIC Pathways Recent Graduates Program confers no right to further employment in the competitive or excepted service.

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.

How You Will Be Evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

The online assessment questions and resume you submit for this position will be reviewed to determine whether you meet the basic eligibility and qualification requirements as outlined in this announcement. Therefore, it is imperative that the documents you submit contain sufficiently detailed information upon which to make this basic qualification determination.  Please ensure that your resume contains specific information such as position titles, beginning and ending dates of employment for each position, the average number of hours worked per week, and if the position is/was in the Federal government, you should provide the position series and grade level.

If you meet the basic eligibility and qualification requirements, you may be referred to the selecting official for further review and consideration. Candidates who are eligible for veterans' preference will receive selection priority.

Your resume will be reviewed, including the online assessment questionnaire, to assess your ability to perform this job.

Top ranked candidates will be referred to the selecting official for further review and consideration. Candidates eligible for veterans' preference will receive selection priority over non-veterans. If you rated yourself higher than what is supported by your resume, your overall qualifications assessment may be adversely affected.

The assessment questionnaire is designed to measure your ability in the following competencies/knowledge, skills, and abilities (KSAs):

1. Knowledge of mathematical and data modeling theories and principles.

2. Knowledge of machine learning and mathematical and data modeling theories, techniques, and methods.
3. Knowledge of mathematics/statistics, computer science/computer engineering, data science, and other STEM related fields.

4. Ability to apply concepts and methods gained from majors such as mathematics/statistics, computer science/computer engineering, data science, and other STEM related fields.

5. Ability to use programming skills of mainstream languages such as Python, R, VBA, and other data management and statistical tools.

6. Ability to present written correspondence.

7. Ability to present written reports and presentations.

You do not need to respond separately to these KSAs. Your answers to the online questionnaire and resume will serve as responses to the KSAs.

You may preview questions for this vacancy.