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The IT Project Manager will organize, direct, and manage complex project tasks, ensuring conformance with schedules and costs. Responsibilities include overseeing contract support teams, maintaining client communications, and managing federal government contracts, with a focus on proactive problem solving and effective project management.

The Data Scientist will analyze complex unstructured data sets to extract insights, develop AI/ML models, and provide data-driven recommendations. Responsibilities include data exploration, model development and optimization, creating visualizations, ensuring ethical AI practices, and collaborating with cross-functional teams.

The Geospatial Solutions Engineer will support ArcGIS Enterprise applications, troubleshoot client issues, design cloud-based GIS solutions, implement automation for GIS tasks, and develop data-driven solutions for national security operations, primarily interacting with Esri applications.

The Program Manager will lead and manage enterprise software development projects, overseeing planning, execution, and reporting activities. Responsibilities include managing project schedules using tools like Microsoft Project and JIRA, ensuring the delivery of project objectives, conducting risk assessments, and coordinating teams of project managers and analysts.

The GIS Architect will lead the design, development, and maintenance of geospatial systems critical to a government agency's mission, providing technical leadership in GIS solutions and implementing CI/CD practices to streamline processes.

The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.

The Data Analyst I will integrate and analyze data across platforms to inform recruitment strategies, develop analytical models for enhanced data accessibility, create staffing models for resource allocation, and build dashboards for reporting critical activities. Responsibilities also include performing studies and assessments using various quantitative and qualitative analytical techniques.