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Data Scientist (Data Analyst)

Legislative Branch
Library of Congress
This job announcement has closed

Summary

This position is locate in the Financial Services Directorate, Office of the Chief Operating Officer.

The position description number for this position is 439883.

The salary range indicated reflects the locality pay adjustments for the Washington, D.C., Metropolitan area.

The incumbent of this position will work a flextime work schedule.

This is a non-supervisory, bargaining unit position.

Overview

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Reviewing applications
Open & closing dates
05/05/2023 to 06/05/2023
Salary
$112,015 to - $145,617 per year
Pay scale & grade
GS 13
Location
Washington
2 vacancies
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Not required
Relocation expenses reimbursed
No
Appointment type
Permanent - Position
Work schedule
Full-time - Flexitime.
Service
Excepted
Promotion potential
13
Job family (Series)
Supervisory status
No
Security clearance
Not Required
Drug test
No
Announcement number
VAR002377
Control number
724080700

This job is open to

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Clarification from the agency

Anyone may apply - By law, employment at most U.S. Government agencies, including the Library of Congress, is limited to U.S. citizens. However, non-citizens may be hired, provided that other legal requirements are met and the Library determines there are no qualified U.S. citizens available for the position.

Duties

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The incumbent’s activities support the Enterprise Planning and Management (EPM) initiative and other FSD activities to help drive improved decision making at the Library of Congress (Library). Studies data, builds analyses, synthesizes insights, creates presentations, and delivers practical and timely solutions to Library planners. Ensures the timely fusion of external data sources into the data holding, and monitors the content for quality and compliance with the data governance framework. Operates and manages the EPM application to collect, link, store, and report on planning data created by Library planners at various levels.

Collaborates with FSD and Library colleagues to identify problems, appropriate data, analytical approaches, and execution steps to produce solutions, practical analyses and insights. Analyses support the EPM program and other priorities, focusing on challenges in agency wide budgeting, planning, organizational performance management, risk management, and financial management. Analyzes data, applies and explains statistical and mathematical principles. Is responsive to a variety of stakeholders and team members with varying skill sets. Coordinates with colleagues on any on-demand analysis and internal audit requested by FSD’s management.

Translates the results of analysis into clear, visual communications to help Library managers make informed decisions. Translates complex concepts, findings, and limitations into concise, plain language. Presents the results of quantitative analyses to non-technical audiences. Researches and designs presentations of analytical outputs tailored to specific audiences, including the use of interactive and narrative storytelling where appropriate. Works with stakeholders to create meaningful presentations and interpretations of analytical outputs.

Applies methods of exploratory data analysis, selecting appropriate models and identifying when data is insufficient to reach conclusions. Conducts observational analyses to explore/group data, test hypotheses, and predict outcomes. Works with large datasets and numerous confounding variables. Derives meaning from complex data sets that include structured, loosely structured, and unstructured data. Synthesizes findings and turns them into meaningful insights. Cleanses and processes data for analysis. Uses appropriate analysis software to prepare data. Improves imperfect data via methods such as probabilistic matching and imputation of missing values.

Develops tools and reports to help ensure the quality of EPM data and evaluates its compliance with the EPM data governance. Monitors data generated in the EPM tool and incoming data from external sources. Analyzes any immediate data issue, determines cause, proposes solutions to management, and perform mitigations.

Develops and maintains a Data Quality Assurance Plan to address systemic deficiencies in data quality; including the descriptions, causes and effects, potential mitigations, constraints, and benchmarks for successful mitigations. Collaborates with colleagues and contractors to perform mitigations. Develops the capability to monitor and report quality benchmarks.

Participates in the EPM internal process of reviews, studies, projects, and data validation efforts to evaluate system performance and identify vulnerabilities. Monitors data flows and stored datasets to make improvements to data collection and ingestion. Assesses potential biases in data selection, processing, and ingestion to ensure that data sources are fit for their intended uses. Recommends changes to processes to improve data quality and usage.

Performs the preprocessing of structured and unstructured data. Accesses, merges, cleans, standardizes, and develops derived metrics on structured datasets. Researches and analyzes new data management software and automation tools and makes recommendation for agency use. Operates and maintains permanent and temporary data assets as needed. Assesses impact of change against existing data usage, and plans and implements the accepted change.

Provides application support for the EPM tool users. Serves as an application administrator--manages users, assign roles, and grants access. Troubleshoots application usage issues with users. Assists the creation of training materials, and conducts training for new users. Generates and maintains application documentation. Provides users with advice on EPM data and usage, as well as general advice on data analytics.

Provides operation and management support for the EPM tool. Monitors the application and its data flows, and performs periodic quality assurance of its processes and data. Verifies and documents known issues and change requests. Collaborates with Library colleagues, contractor staff and OCIO to test and deploy fixes and enhancements.

Requirements

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Conditions of employment

Library of Congress employees are prohibited from using illegal drugs, including marijuana. The Library is part of the Federal Government and abides by federal law, so regardless of individual state or District of Columbia laws, marijuana use is illegal, considered criminal activity, and can affect your employment at the Library. In addition, past or current drug use and activities (e.g., selling or distributing) may deem you ineligible for employment.

Qualifications

Applicants must have had progressively responsible experience and training sufficient in scope and quality to furnish them with an acceptable level of the following knowledge, skills, and abilities to perform the duties of the position without more than normal supervision.

Ability to conduct data science analysis.**

Knowledge of data processing practices and techniques to support data analysis activities.**

Ability to analyze, plan, develop and execute work in data analysis and/or processing.

Knowledge of computer programming and development tools.**

Knowledge of computer science, mathematical, and statistical theories, techniques and methods.

Ability to communicate effectively other than in writing.

Education

Candidates with a degree in Computer Science, Data Science or field directly related to the position is preferred.

Additional information

Although it is the Library's policy to afford the maximum pay benefit to employees when setting rates of pay, a new appointee who has had no previous Federal service will generally be paid at step one of the grade.

The Library of Congress is an equal opportunity employer. Women, minorities, and persons with disabilities who meet eligibility requirements are strongly encouraged to apply.

Applicants must submit a complete application package that is received by the closing date of this announcement.

Appointment/retention is subject to a favorable evaluation of an appropriate personnel security/suitability investigation. For more information, please see:Vetting Process

This agency provides reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please email ADA@loc.gov. The decision on granting reasonable accommodation will be determined on a case-by-case basis.

Applicants with disabilities may be considered under special hiring procedures and must submit an appropriate certificate of eligibility when applying for this position. The proof or disability/certification may be issued by the State Vocational Rehabilitation Office, Disability Services or Career Services office of the applicant’s college or university, or the Department of Veterans Affairs. The letter must verify that the applicant has a severe disability and must be dated within three years of the date of the application.  Certification from health care providers are not accepted. For more information contact the Library's Office of EEO/Diversity Programs at 202-707-6024 or email spp@loc.gov. FAILURE TO SUBMIT YOUR CERTIFICATION WILL CAUSE YOUR APPLICATION TO NOT BE CONSIDERED UNDER THE SELECTIVE PLACEMENT PROGRAM.
 
The Library of Congress is the national library of the United States and is part of the Legislative Branch of the Federal government. As such, all positions are in the excepted service.

The Library reserves the right to fill a lesser or greater number of vacancies indicated during the life of this vacancy announcement.

Initial permanent appointments to the Library of Congress require completion of a one-year probationary period. Probationary periods served at other Federal agencies do not count toward this requirement.

The Library of Congress may offer repayment for all or part of federally insured student loans. However, not all service units within the Library of Congress participates in the repayment of federally insured student loans. Therefore, determination to repay a federally insured student loan is subject to approval by the appropriate service unit.

A “Not to Exceed" (NTE) status is used to identify an appointment with a specific ending date. However, the Library has the right to separate a NTE employee at any time due to either performance issues or budget constraints.

Are you a veteran?  Please indicate the type of veterans' preference you are claiming in your application materials and/or applicant profile and provide the appropriate supporting documentation to validate your claim.  Those applying for 5-point preference must submit Member Copy 4 of your DD 214.  Those applying for 10-point preference must fill out an SF-15 (click here for the form) and provide the required documentation listed on the back of the form.  If required supporting documentation is not attached, Veterans' Preference will not be considered in the application process.
 

How you will be evaluated

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

The Library of Congress evaluates applicants through an applicant questionnaire and a structured interview. Applicants may also be screened for some jobs through licensing, certification, and/or education requirements, a narrative/application review, and/or a preliminary telephone interview. The knowledge, skills, and abilities (KSAs) that are marked with a double asterisk (**) in the vacancy announcement and the applicant questionnaire are considered the most critical for a position. To be considered for final selection, applicants must demonstrate fully acceptable experience in these designated KSAs in the narrative/application review, preliminary telephone and/or full structured interview. The various assessment tools listed above are designed to verify or explore applicants' experience, knowledge, and training directly related to the job in order to identify the best qualified applicants for selection.

For more information regarding eligibility requirements, please see the Library of Congress Merit Selection Plan, Section 8.5, at: Merit Selection Plan


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