Data Scientist

AMSG is seeking a Data Scientist with U.S. Army Training and Doctrine Command (TRADOC) or other 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

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 predictive analytics, statistical methods and machine learning techniques accessing data from Strategic Management Systems such as Vantage, Advana, and/or Power BI. Position/program requires strong skills in the spectrum of statistics and mathematics in support of the TRADOC Knowledge Management (KM) Program.

Specific Duties:

• Lead a team in the generation of data analytics, reporting, and visualizations (PowerBI, Vantage, Advana) and decision-making platforms (Vantage, Advana).
• 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 maintain 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 used in data systems.
• Plan, implement, and control activities that apply quality management techniques to data to ensure it is fit for consumption and meets the needs of users.
• Deliver updates and project tracking in project management software (Jira, MS Planner).
• Access and leverage structured relational data as well as semi-structured and unstructured data including big data. Experience in object development and design.
• 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.
• Perform exploratory data analysis (EDA), clean and process data, and develop predictive models using techniques such as regression, classification, clustering, and time-series forecasting.
• Design, train, and evaluate machine learning algorithms to address business challenges. Work with team members to continuously improve model accuracy and performance through experimentation and optimization.
• Develop and implement predictive analytics and forecasting models that provide forward-looking insights, empowering stakeholders to anticipate future trends and make strategic decisions.

Additional Requirements:

• Experience with Artificial Intelligence, Machine Learning, and Modeling (and Statistics).
• 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.
• Proficiency in programming languages such as Python or R, and experience with SQL for data manipulation
• Experience working with data mesh architecture, creating or managing data products with domain-driven ownership and decentralized data management.

Additionally, a Candidate will:

• Have successful past performance in providing oversight and guidance on application of content management systems and workflows.
• Exhibits proficiency in business management and a proven record of applying innovative solutions, design thinking, disruptive innovation, process management/design, benchmarking, Lean Six Sigma, Kaizen, rate of innovation, along with other related methodologies and practices to programs of comparable scale and complexity.
• Demonstrates expertise, understanding, and experience in Organizational Behavior, Organizational Development or Organizational Management.
• Has experience leveraging performance management/measurement, strategic planning, research, and analysis, change management, and behavioral science theories and principles.
• Has demonstrated ability to work collaboratively and function as a team member. Partner with data engineers, analysts, product managers and other stakeholders to understand data needs, align on project goals, and ensure data availability and accuracy for analysis.