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USAJOBS · 1 month ago

Data Scientist (Supply Chain Risk Management)

Fort Belvoir, Virginia, USA

Full-time

Onsite

Mid, Senior Level

$142K/yr - $185K/yr

1+ years exp

The Defense Logistics Agency (DLA) is seeking a Data Scientist (Supply Chain Risk Management) to enhance supply chain security for the Department of Defense. The role involves analyzing risks in supply chains and utilizing AI/ML methods to improve decision-making and operational efficiency.

ConsultingGovernmentHuman ResourcesInformation TechnologyInternetStaffing Agency

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Serves as the Data Scientist (Supply Chain Risk Management) in the J3 Logistics Operations area and is assigned to Mission Assurance Division encompassing Supply Chain Security and Supply Chain Risk Management

Analyzes and improves the Defense Logistics Agency (DLA) supply chains to support the Department of Defense and other agencies and Departments through identifying risks, vulnerabilities, and mitigations

Uses approved Artificial Intelligence/Machine Learning (AI/ML) and scientific methods to identify, predict, and assess supply chains and associated risks, vulnerabilities, and mitigations

Conducts risk and predictive analysis, computer simulation, program/project planning and controls, including developing internal/external dashboards utilizing data visualization and methods to DLA, the DoD, and other governmental agencies/programs

Oversees the development of analytical data to assist in the development of functional performance measures that effectively reflect the agency's national program performance

Recommends future actions to improve precision in analytical results, data utilization and decision-making capabilities to the Agency’s Supply Chain

Qualification

Artificial IntelligenceMachine LearningStatistical AnalysisData VisualizationRisk AssessmentCommunicationProblem Solving

Required

Must be a U.S. citizen

Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience

One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position

Demonstrate the ability to use approved Artificial Intelligence/Machine Learning (AI/ML) and scientific methods to identify, predict, and assess supply chains and associated risks, vulnerabilities, and mitigations

Apply scientific methods, to include, but are not limited to, regression, decision tree analytics, probability and game theory, and statistical analysis to research and improve supply chain risk assessment processes

Transform existing or develop new methods of computation and analysis to improve application methodologies and strategies for existing and new concepts

Make recommendations for future actions to improve precision in the Agency's Supply Chain when using analytical results, data utilization and decision-making capabilities