Information Technology Specialist (Data Scientist)

National Gallery of Art • Washington, DC

17h

About The Position

This position is in the National Gallery of Art’s Analytics & Enterprise Architecture division within The Treasurer’s Digital Solutions Group. The selected candidate will develop analytic products and capabilities in partnership with IT specialists and domain experts, helping inform National Gallery strategy and execution across areas that may include customer experience and audience engagement, museum operations, talent strategy, collection management, and other strategic priorities.

The role leads and performs data science and analytics projects, including developing and maintaining predictive models, machine learning solutions, data engineering processes, and scalable analytics products. It applies statistical analysis, data visualization, text analytics, data profiling, and data quality assessment to derive reliable insights from large and complex datasets. The specialist also supports modernization of data and analytics platforms by assessing data resources, infrastructure, access methods, and stakeholder needs, and collaborates with architects on scalable data pipelines and integration of new data sources. The position communicates findings and practical implications to technical and non-technical stakeholders, builds stakeholder relationships, participates in peer review and communities of practice, keeps current with emerging methods and technologies, and promotes outcomes-based enterprise-wide use of data.

Requirements

• At least one year of specialized experience equivalent in responsibility to the GS-13 level in the Federal service or private sector.
• Experience applying data engineering and data science techniques toward business analytics.
• Experience performing IT functions related to data management and analytics.
• Experience conducting data analysis to address business problems.
• Experience communicating technical analytics information to technical and non-technical audiences.
• IT-related experience demonstrating attention to detail, customer service, oral communication, and problem solving.
• Meet all qualification and eligibility requirements by the announcement closing date.
• Submit a resume that clearly describes relevant experience and includes dates of qualifying experience and hours worked or volunteered per week.
• Pass a pre-employment background investigation.
• Maintain a bank account for direct deposit or electronic transfer.
• Males born after December 31, 1959, must be registered for Selective Service.

Responsibilities

• Lead and perform data science and analytics projects.
• Develop, maintain, and code predictive models, machine learning solutions, data engineering processes, and scalable analytics products to support business decisions.
• Apply statistical analysis, data visualization, text analytics, data profiling, and data quality assessment methods to extract reliable insights from large and complex datasets.
• Assess data resources, infrastructure, access methods, and stakeholder needs to support modernization of data and analytics platforms.
• Collaborate with architects to design scalable data pipelines and integrate new data sources.
• Communicate findings, practical implications, and data insights to technical and non-technical stakeholders through multiple delivery methods.
• Build stakeholder relationships and participate in peer review and communities of practice.
• Stay current on emerging data science methods and technologies.
• Promote outcomes-based enterprise-wide use of data.

Benefits

• Federal employee benefits package, subject to position type and eligibility, including access to health insurance, leave, life insurance, and a retirement program.
• Flexible Spending Accounts.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed