Clarification from the agency

All U.S. Citizens and CTAP/ICTAP eligibles

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As a Senior Data Scientist, you will:

• Define, recommend, and implement metrics, reporting and assessments that provide ongoing monitoring and challenge of data quality control, complete regular checks of data integrity and reconcile data with alternative data sources; create and perform data scrubbing and cleansing specific to business requirements, modeling needs, and analytical tool specifications.
• Identify and perform necessary ad-hoc analysis to aid data quality enhancement efforts with ONES credit unions; seek to convert certain ad-hoc analyses into permanent functionality in the data quality process using Python or R.
• Consult and act on data analysis requests to conceptualize and define data modeling requirements and work with large and complex data systems to organize, aggregate, prepare and validate data for use in financial analysis, business applications, model development, and policy research.
• Construct automated data pipelines for a wide variety of analytical uses by the team's users and provide users training as needed to maximize analytical efficiency across a variety of data analysis software platforms.
• Utilize R or Python to develop regular and ad-hoc analysis, research, and surveillance reports to improve identification and understanding of major conditions, trends, and risks for ONES credit unions and the credit union industry.
• Develop programmatic solutions to automate complex analytical tasks, including interaction with a wide variety of financial analysis software packages.
• Perform financial and statistical modeling, financial institution stress testing or income forecasting, and economic forecasting.
• Develop and instruct educational programs and classes on data-related topics for staff and other NCUA internal groups, and other external non-NCUA groups.

Conditions of employment

• You must be a U.S. Citizen.
• Suitable adjudication of background/security investigation is required.
• A probationary period may be required.
• This position is telework eligible.
• Must complete initial online questionnaire.
• Financial disclosure is required.

Qualifications

Please note: Under the provisions of the Direct-Hire Authority, veterans' preference does not apply. Applicants who meet the minimum qualifications and the basic requirements and who are otherwise eligible to apply for this position, may be referred for selection consideration. Traditional rating and ranking of applications does not apply.

Specialized experience is the experience that has equipped you with the specific knowledge, skills, and abilities to successfully perform the duties of the position, and that is typically in or related to the work of the position to be filled.

To qualify at the CU-15 level, you must have one full year of specialized experience equivalent to the CU/GS-14 level in federal service (obtained in either the public or private sectors).

Specialized experience for this position is defined as experience:

1. Developing, validating, and maintaining datasets of financial products, such as mortgage and consumer loans, securitized products, corporate bonds, and depository instruments, etc., using data modeling techniques and programming for financial analysis and model development; and
2. Developing financial analytics, modeling, and reporting using R and Python; and
3. Automating complex processes (such as multiple data sources, multiple output reports, etc.) to create analytical financial data systems.

You must meet the qualifications and the basic requirements (as described below) for this position by the closing date of this announcement.

Please note, all experience statements (i.e., duties, specialized experience, or occupational assessment questionnaire) copied from this announcement and pasted into your resume will not be considered as a demonstration of your qualifications for this position.

YOUR RESUME MUST provide specific details as to how your experience meets the specialized experience and support your responses to the online questionnaire as described in the vacancy announcement. When describing your experience in your resume, please be specific. We will not make assumptions regarding your experience. Please ensure that your resume includes the grade (if you are a current or previous federal employee), month, and year that you began and ended for each position held or that position may not be credited toward meeting the specialized experience requirement. Full-time employment will be assumed unless otherwise stated on your resume. Part-time employment will be prorated in crediting experience. Failure to provide details will result in an ineligible rating.

Your resume must also support your responses to the online questionnaire. Failure to provide support may result in a lower rating and/or you may be excluded from consideration. Your latest resume submitted for this vacancy announcement will be used to determine qualifications and supersedes previous submissions.

How you will be evaluated

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

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

You will be evaluated for this job based on how well you meet the qualifications. This vacancy is being filled through the Office of Personnel Management's delegated Direct-Hire Authority.Your application package will be reviewed for completeness (resume, completed assessment questionnaire, and supporting documentation). You will not be considered if you fail to submit all the required documents as outlined in this vacancy announcement.

The self-assessment questions have been developed to evaluate your competency in the following areas:
Data Management, Database Management Systems, Modeling and Simulation, and Oral Communication

Reference Checks: Reference checks will need to be conducted before an offer of employment for the top candidate(s) for this position. The reference checks will need to be conducted with current and former supervisors, if applicable, as a part of NCUA's selection assessment process.

Application of Veterans' Preference: The category rating process does not add veterans' preference points but protects the rights of veterans by placing them ahead of non-preference eligibles within each category. Preference eligibles who meet the minimum qualification requirements and who have a compensable service-connected disability of at least 10% must be listed in the highest quality category (except in the case of scientific or professional positions at the CU-09 level or higher).

If you are found to be among the top qualified candidates, your application will be referred to the selecting official for employment consideration. To preview the application questionnaire, please click here: https://apply.usastaffing.gov/ViewQuestionnaire/12458168

Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration. Cheating on the online assessment may also result in your removal from consideration.