Senior Data Scientist

Senior Data Analyst

Req ID 002-25 v1.0

HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners.

This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps.

Location : Performance will take place at both the Government’s facility and the contractor’s facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions / Installations.

Responsibilities

Uses analytical tools and techniques to extract meaningful insights from data. Identifies relevant data sources, performs data cleansing / analysis, develops data models, uses data visualization software to present findings. Specifically working in partnership with a Senior Operations Research Analyst and Senior Data Analyst.

• Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations.
• Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions.
• Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions.
• Conduct predictive analysis and refine / update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families.
• Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes.
• Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission / footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps’ Facility Investment Strategy (FIS).
• Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios. This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP).
• Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions / Installations for use. The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM).
• Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment.

Required Education and Experience

Desired Education and Experience

Desired Certifications

Security

Overseas Performance Requirements

HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities.

For more information or to apply, visit our website at www.hazegraycyber.com / career .

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