The Data Analyst will provide qualitative and quantitative analytics to support the Defense Health Agency's operational and strategic decision-making. Responsibilities include developing dashboards, performing data validation, and collaborating with subject matter experts to translate business requirements into actionable insights.
Design and implement star schema dimensional models and optimize data operations using SQL Server and ETL scripting. Deploy application code and analytical models using CI/CD tools while providing ongoing support for data applications.
The Data Scientist will apply statistical modeling, data mining, and NLP techniques to analyze complex public sector problems. Responsibilities include data pre-processing, feature engineering, model development, validation, and visualization of results.
Develop, train, deploy, and monitor machine learning and AI models while building MLOps pipelines for governance and versioning. Collaborate with cross-functional teams to operationalize AI capabilities and integrate solutions into enterprise applications and workflows.
The Principal Analytics Lead will provide leadership and coordination for a mission-critical IRS fraud analytics program. Responsibilities include aligning contractor activities with government priorities and translating analytical findings into actionable recommendations for senior leaders.
The consultant will provide domain expertise to guide analytical development, model interpretation, and operational decision-making for fraud detection. They will also analyze fraud schemes and filing behaviors to support the refinement of predictive models and stakeholder reporting.
Develop and maintain AI-enabled applications, including NLP pipelines and Generative AI solutions for government clients. Build and integrate backend APIs and microservices while developing front-end user interfaces.
The role involves developing and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. Responsibilities include supporting enterprise data ingestion, transformation, and implementing data governance controls using tools like Unity Catalog.
The role involves developing, maintaining, and enhancing legacy mainframe applications supporting IRS tax processing, compliance, and data management systems using Assembler and JCL. Responsibilities also include monitoring batch jobs, debugging production issues, managing code changes via Endevor, and ensuring compliance with IRS standards.
The Metadata Analyst will manage day-to-day activities to ensure catalog and metadata processes run smoothly, answer queries from various teams, and complete metadata audits. They will also help define requirements and standards for the metadata repository and reconcile collected data with authoritative metadata sources.
