• USA

  • Permanent

  • Full-time

Title: Data Scientist

ID: 1404

Location: Fort Eustis, VA

Department: N/A


AMSG is seeking a Data Scientist with TRADOC or other US Army experience.

AMSG supports a variety of Department of Defense (DoD), Department of Veterans Affairs (VA), Department of Homeland Security (DHS), Defense Health Agency (DHA), Department of the Treasury, and Federal Trade Commission (FTC) programs with performance management services. We take pride in our great work environment and highly motivated company. Join our team of top talent in supporting the federal government!

We hire Veterans and military family members!

Location: Fort Eustis, VA

Education: BS/BA Degree desired

Years of Experience: 10+ Years of Data Scientist/Engineering

Clearance Requirements: DoD Top Secret clearance is required.

Job Type: Full Time (contingent)

General Description:

Provide expertise in Systems Admin/Developer, Data Engineer, and Content Manager in support of the U.S. Army TRADOC OCKO office. Demonstrated experience in developing, implementing, and maintaining performance management systems. Significant proficiency in using SharePoint, Strategic Management System, Vantage, Advana, and/or Power BI. Position/program requires strong skills in the spectrum of the Microsoft Office Suite of products in support of the U.S. Army TRADOC Program.

Specific Duties:

  • Provide support in web development including languages (JavaScript, CSS, HTML) and building and maintaining websites (WordPress).
  • Deliver updates and project tracking in project management software (JIRA, MS Planner).
  • Serve as the subject matter expert in on-premises and cloud business software services (MS Office).
  • Lead a team in the generation of data analytics, reporting and visualizations (PowerBI, Vantage, Advana) and decision-making platforms (Vantage, Advana).
  • Utilize low and no code business process automation and application development (Power Apps, Power Auto mate) to generate business solutions.
  • Provide expertise in data modeling and design (defining tables, configuring table and column properties, defining relationships, resolving many-to-many relationships, defining appropriate levels of granularity for both operational data and analytical data.
  • Build and maintaining data pipelines, integrating data, ensuring data interoperability, implementing data structures, and designing and maintaining data storage.
  • Design and build data architectures consisting of models and developing standards and rules for how collected is stored, arranged, integrated, and put to use in data systems.
  • Plan, implement, and control activities that apply quality management techniques to data in order to ensure it is fit for consumption and meets the needs of users.
  • Access and leverage structured relational data as well as semi-structured and unstructured data including big data. Experience in object development and design.
  • Collaborate with a team to design immersive UI/UX friendly SharePoint Online Modern Site Pages, applications, and forms.
  • Apply business technologies, benchmarking, Baldridge Criteria, balanced scorecard, business intelligence dashboards, performance metrics, key performance indicators, measurement/analysis, and related concepts, principles, and practices to a program of similar size and scope.
  • Provide oversight and guidance on application of content management systems, workflows, data mining, cloud computing, predictive analytics, statistics, data warehousing, information/Cyber security, visualization, metadata tagging, and applying related content and data management theories, concepts, and applications.

Additional Requirements:

  • Top-Secret Security Clearance
  • Experience with Artificial Intelligence, Machine Learning, and Modeling (and
  • Statistics).
  • Proficient with online platforms.
  • Proficient in web development languages.
  • Proficient in Project Management Software.
  • Proficient in on-premises and cloud business software.
  • Proficient in multi-platform collaboration tools.
  • Proficient in low-code/no-code.
  • Data modeling and design.
  • Access/leverage structured relational data.
  • Business Intelligence.
  • Data & Content Management.
  • Design and building data architectures.
  • Plan, implement, and control activities.
  • Significant experience in data analytics.
  • Significant experience in data engineering/architecture.


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