Data Scientist

🕒 June 30

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Logo of People, Technology & Processes, LLC

People, Technology & Processes, LLC

51 - 200 employees

Founded 2010

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

People, Technology & Processes, LLC is an IT services and solutions firm that helps organizations bridge people, technology, and process gaps through managed IT, cloud strategies, server virtualization, desktop management, data integration, automation, and regulatory compliance support. The company focuses on driving digital transformation and application development, providing IT support, managed services, and program leadership, and serves both commercial and government clients via high-impact contracts.

📋 Description

• Serve as a primary facilitator for preparation, execution and follow up for all Planning, Programming, and Budgeting Committee – Guard (PPBC-G) forums (General Officer / Strategic Level forums), to include Resourcing Council of Colonels (RCoC), Resource Integration Steering Committee (RISC). • Coordinates across Army National Guard Bureau staffs to develop topics, products, and presentations for submission to the PPBC-G process. • Support the design, development, and execution of all data analytic efforts led by the GS-13 Data Scientist as directed by the DAG-R Division Chief/Deputy Division Chief in support of the Chief Financial Officer’s analytic agenda. • Provide expertise on ARNG Roles, Missions, Authorities and Army strategic guidance and key planning efforts such as The Army Plan (TAP), Total Army Analysis (TAA), the Army Equipment Modernization Strategy (AEMS), and the Long-Range Investment Requirements Analysis (LIRA). • Develop and enhance websites, applications, and secure access to databases based upon requirements for analytic efforts as approved by the COR.

🎯 Requirements

• Bachelor’s Degree in related field of study or equivalent experience. • Minimum of four years of experience, two within the DoD working with big-data systems and developing production-level data models. • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers. • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills. • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. • Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

🏖️ Benefits

• Flexible work arrangements

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