Sr. Data Scientist SME

Summary

Job Title: Sr. Data Scientist SME

Location: Arlington, VA

Duration: Permanent (Full-time)

Job Description:

We are seeking an experienced Sr. Data Scientist & Data Visualization SME to lead the development, maintenance, and optimization of a SharePoint-based Common Operational Picture (COP) across both NIPR and SIPR networks. In this role, you will synthesize disparate data streams into real-time, actionable dashboards to enhance situational awareness, track logistics across multiple Classes of Supply, and drive high-level decision-making for U.S. Marine Corps operations.

Key Responsibilities

• COP Architecture & Management: Build and maintain a centralized, web-based COP portal on SharePoint and Teams (NIPR/SIPR) featuring landing hubs, live Power BI dashboards, automated reporting, and role-based access control.
• Logistics & Analytics: Track inventories, costs, and capacities across Classes of Supply (I, II/VII, IIP, IV, VII, IX) by aggregating complex operational datasets.
• Mission Integration: Maintain active access to and integrate data from the Maven Smart System (MSS) and Global Positioning Network (GPN).
• Workflow Automation: Build Power Automate workflows and Power Apps/GIS map integrations to trigger real-time alerts, sync mobile forms, and automate daily reporting.
• Executive & Administrative Support: Draft, review, and manage DoN ETMS2 taskers, AMHS messages, decision papers, and PowerPoint briefs across classified and unclassified levels.

Qualifications:

• Experience: 15+ years of experience with U.S. Marine Corps Logistics, prepositioning initiatives, and War Reserve programs.
• Technical Skills: Advanced proficiency in Power BI, Copilot, DoD AI tools (e.g., Maven Smart System), Excel Macros, and MS Teams/SharePoint site architecture (NIPR/SIPR).
• Stakeholder Engagement: Proven experience collaborating with ground systems stakeholders across HQMC CD&I, I&L, PEO-LS, MARCORSYSCOM, and TECOM.
• Domain Knowledge: In-depth understanding of the Global Positioning Network (GPN) and Classes of Supply tracking.

Job Description

Job Title: Sr. Data Scientist SME

Location: Arlington, VA

Duration: Permanent (Full-time)

Job Description:

We are seeking an experienced Sr. Data Scientist & Data Visualization SME to lead the development, maintenance, and optimization of a SharePoint-based Common Operational Picture (COP) across both NIPR and SIPR networks. In this role, you will synthesize disparate data streams into real-time, actionable dashboards to enhance situational awareness, track logistics across multiple Classes of Supply, and drive high-level decision-making for U.S. Marine Corps operations.

Key Responsibilities

• COP Architecture & Management: Build and maintain a centralized, web-based COP portal on SharePoint and Teams (NIPR/SIPR) featuring landing hubs, live Power BI dashboards, automated reporting, and role-based access control.
• Logistics & Analytics: Track inventories, costs, and capacities across Classes of Supply (I, II/VII, IIP, IV, VII, IX) by aggregating complex operational datasets.
• Mission Integration: Maintain active access to and integrate data from the Maven Smart System (MSS) and Global Positioning Network (GPN).
• Workflow Automation: Build Power Automate workflows and Power Apps/GIS map integrations to trigger real-time alerts, sync mobile forms, and automate daily reporting.
• Executive & Administrative Support: Draft, review, and manage DoN ETMS2 taskers, AMHS messages, decision papers, and PowerPoint briefs across classified and unclassified levels.

Qualifications:

• Experience: 15+ years of experience with U.S. Marine Corps Logistics, prepositioning initiatives, and War Reserve programs.
• Technical Skills: Advanced proficiency in Power BI, Copilot, DoD AI tools (e.g., Maven Smart System), Excel Macros, and MS Teams/SharePoint site architecture (NIPR/SIPR).
• Stakeholder Engagement: Proven experience collaborating with ground systems stakeholders across HQMC CD&I, I&L, PEO-LS, MARCORSYSCOM, and TECOM.
• Domain Knowledge: In-depth understanding of the Global Positioning Network (GPN) and Classes of Supply tracking.