
Information Technology Specialist (Data Scientist)
Washington, DCFull-time$144–187K/yrPosted 2 days ago
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Job overview
The Information Technology Specialist (Data Scientist) works in the National Gallery’s Analytics & Enterprise Architecture division, developing analytic products and capabilities with IT specialists and domain experts. The role supports strategy and execution across areas such as audience engagement, museum operations, talent strategy, and collection management. It leads data science and analytics projects, modernizes data platforms, and communicates insights to technical and non-technical stakeholders.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Summary
We are the nation's art museum, home to a renowned collection of over 160,000 works of art from antiquity to today. Millions of people come through our doors each year—with even more online—making us one of the most visited art museums in the world. Located on the National Mall, admission to the West and East Buildings, Sculpture Garden, special exhibitions, and public programs is always free.
Duties
This position is in the National Gallery's Analytics & Enterprise Architecture division of The Treasurer's Digital Solutions Group. The selected candidate will be responsible for developing analytic products and capabilities in partnership with other IT specialists and domain experts, to inform National Gallery strategy and execution across topics that may include customer experience (CX) and audience engagement, museum operations, talent strategy, collection management and other strategic priorities. Duties for this position include: Leads and performs data science and analytics projects, including developing, maintaining, and coding predictive models, machine learning solutions, data engineering processes, and scalable analytics products to support business decisions. Applies statistical analysis, data visualization, text analytics, data profiling, and data quality assessment methods to extract reliable insights from large and complex datasets. Supports data and analytics platform modernization by assessing data resources, infrastructure, access methods, and stakeholder needs; collaborates with architects to design scalable data pipelines and integrate new data sources. Communicates findings, practical implications, and data insights to technical and non-technical stakeholders through multiple delivery methods. Builds stakeholder relationships, participates in peer review and communities of practice, stays current on emerging data science methods and technologies, and promotes outcomes-based enterprise-wide use of data. Requirements
Qualification requirements must be met by the closing date of the announcement. For information on qualification requirements, see Qualification Standards Handbook for General Schedule Positions viewable on OPM Website. It is your responsibility to ensure that you submit appropriate documentation prior to the closing date. Your resume serves as the basis for qualification determinations and must highlight your most relevant and significant experience as it relates to this job announcement. Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. 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). Your resume must include the dates of all qualifying experience (from month/year to month/year) and the number of hours worked/volunteered per week. Qualifications
Basic Requirements For all positions individuals must have IT-related experience demonstrating each of the four competencies listed below. The employing agency is responsible for identifying the specific level of proficiency required for each competency at each grade level based on the requirements of the position being filled. Attention to Detail - Is thorough when performing work and conscientious about attending to detail. Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services. Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately. Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations. AND Specialized Experience Statement: Candidates must possess at least one year of specialized experience, equivalent in responsibility to the GS-13 level in the Federal service or private sector: Applying data engineering and data science techniques toward business analytics; Performing IT functions related to data management and analytics; Conducting data analysis for addressing business problems; and Communicating technical analytics information to technical and non-technical audiences. OPM Qualifications Standard: Group Coverage Qualification Standard for Administrative and Management Positions Individual Occupational Requirement: Information Technology (IT) Management Series 2210 You must meet all qualification and eligibility requirements by the closing date of this announcement.
Education
This position does not have an education requirement. How You Will Be Evaluated
Your resume will be used to evaluate your experience, education, and/or training that address the competencies below: Data Science Analysis Information Technology Communication Category Rating: Qualified candidates will be assigned to one of the three quality categories: The quality categories are defined as: Qualified (70-79.99), Well Qualified (80-89.00), or Best Qualified (90-100). Qualified Category = Does not exceed the basic qualifications requirements described in the "Qualifications" section of this announcement. Well Qualified Category = Meets the basic qualifications requirements described in the "Qualifications" section of this announcement and demonstrates proficiency in the Critical Competencies defined below. (This category must be met to be considered under ICTAP procedures) Best Qualified Category = Meets the basic qualifications requirements described in the "Qualifications" section of this announcement and excels in the Critical Competencies defined below. The category assignment is a measure of the degree in which your background matches the competencies required for this position. Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration. Cheating on an assessment may also result in your removal from consideration. The Category Rating Process does not add veterans' preference points or apply the "rule of many," 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 have a compensable service-connected disability of at least 10 percent or higher will be listed in the highest quality category (except in the case of scientific or professional positions at the GS-09 level or higher). Note: Applicants who are referred to the hiring office for selection consideration may be required to submit writing and/or work samples as part of the interview/selection process. If the hiring office decides to request a writing and/or work sample as part of its selection process, the vacancy contact will reach out to you by email to: (1) inform you of this requirement; and (2) provide further instructions. You may preview questions for this vacancy. Benefits
Flexible Spending Accounts - https://www.fsafeds.com/ Health Insurance - http://www.opm.gov/insure/health/index.asp Leave - http://www.opm.gov/oca/leave/index.asp Life Insurance - http://www.opm.gov/insure/life/index.asp Retirement Program - https://www.opm.gov/retirement-services/ Other Information
The National Gallery of Art fosters a fair workplace and is an Equal Opportunity Employer. The EEO policy is found at: https://www.nga.gov/employment-opportunities/equal-employment-opportunity More than one selection may be made from this vacancy announcement. This position is not included in the bargaining unit. Relocation expenses will not be paid. Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Reasonable Accommodation Policy: http://help.usajobs.gov/reasonable-accommodation Veterans Information: http://help.usajobs.gov/working-in-government/unique-hiring-paths/veterans Selective Service Registration: http://www.sss.gov/ Veterans Employment Opportunity Act (VEOA): To be eligible for a VEOA appointment under Merit Promotion procedures, the veteran must be a preference eligible or a veteran separated after 3 years or more of continuous active service performed under honorable conditions. Noncompetitive Appointment Authorities: For more information on noncompetitive appointment authority eligibility requirements visit the following websites: Persons with Disabilities-Schedule A Special Hiring Authorities for Veterans Special Hiring Authority for Certain Military Spouses Other Special Appointment Authorities Reasonable Accommodation Requests: The National Gallery of Art provides reasonable accommodation to applicants with disabilities. If you need an accommodation for any part of the application and hiring process, please notify the contact person listed in this announcement.
How this job compares
Set against the 5,326 open Data Scientist jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$144–187K/yr
- Washington, D.C. median$111–180K/yr76 salary ranges
- US median$135–215K/yr4,186 salary ranges
This range's midpoint, $166K, is 12% above the Washington, D.C. median midpoint ($147K) — in the middle half of Data Scientist salary ranges in Washington, D.C..
- Openings
- Olive Jobs lists 92 open Data Scientist jobs in Washington, D.C. and 5,326 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington, D.C.
- PwC7 open
- BOOZ, ALLEN & HAMILTON, INC.6 open
- Deloitte6 open
- Experience
- This posting asks for at least 1 year of experience — less than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,594 postings).
- Education
- 2,772 of the 5,326 open Data Scientist jobs (52%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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