Senior AI Data Analyst – Predictive Modeling & Dashboards

Targeted Approach; United States; On-site; USD 145,000 - 155,000; Full time

Benefits offered by this job

401(k) with 4% match

Health insurance

Dental insurance

Life insurance

Vision insurance

Paid holidays and PTO

Job summary

Targeted Approach seeks an experienced analytics lead for the Pentagon-based GPN Program Office to drive analytics, modeling, and simulation efforts. You will coordinate a data team, guide complex data pipelines, and deliver actionable recommendations to modernization and readiness initiatives.

The role requires 8+ years in the field, DoD experience, DoD security clearance, and willingness to commute to the Pentagon in Washington, DC.

Qualifications

• 8+ years of relevant professional experience.
• Strong hands-on expertise with Python or R for algorithm development, UI creation, data synthesis, and visualizations.
• Advanced SQL skills for data extraction and query automation.
• Experience applying AI/ML frameworks such as TensorFlow or PyTorch to build predictive models and analyze complex datasets.
• Experience with high-resolution modeling and simulation tools such as ExtendSim and simulation-optimization tools such as OptDef.
• Familiarity with DoD logistics data sources (TFSMS, GCSS-MC, MCPIC) for model input.
• Experience establishing data standards, building datasets, monitoring data quality, and resolving data integrity issues.
• Proficiency in statistical methods, data modeling, BI and visualization tools, dashboards, and analytical reporting.
• Ability to lead technical discussions, coordinate with government and external stakeholders, brief senior leaders, and guide junior/mid-level analysts.

Responsibilities

• Lead on-site analytical advisory for analytics, modeling, and simulation in the GPN Program Office at the Pentagon.
• Coordinate and oversee off-site junior/mid-level data team while supporting program execution.
• Facilitate technical discussions with CNA, CD&I, I&L, ONR, DIU, MSC, OPNAV, and others on future GPN laydowns, technologies, modernization, integration.
• Provide data-driven analysis and recommendations informing modernization strategy, investment, force posture, and POM-cycle planning.
• Maintain analytical inputs to the GPN Common Operating Picture and prepare daily GPN status reports for I&L leadership.
• Build predictive simulation models using LOG IT system data to assess policy changes and operational scenarios.
• Develop and automate data pipelines and complex queries to extract, validate, transform, and consolidate data sources into metrics, dashboards, and model inputs.
• Apply DoW and USMC cybersecurity and data governance requirements to workflows and data products.
• Support monthly status reporting, transition planning, meeting materials, action-item tracking, and knowledge transfer.
• Serve as primary contact to the COR and coordinate contract administration with corporate PM.
• Deliver monthly status reports, transition plans, meeting materials, and daily GPN status reports.
• Travel ~4 times per year for GPN planning conferences.

Skills

Python

R

AI/ML concepts

Data visualization

Leadership

Education

Bachelor's degree

Data science/CS/OR/Engineering/Math/Stats/Info Systems or related analytical field

Tools

TensorFlow

PyTorch

ExtendSim

OptDef (simulation-optimization)

Job description

Targeted Approach seeks an experienced analytics lead for the Pentagon-based GPN Program Office to drive analytics, modeling, and simulation efforts. You will coordinate a data team, guide complex data pipelines, and deliver actionable recommendations to modernization and readiness initiatives.

The role requires 8+ years in the field, DoD experience, DoD security clearance, and willingness to commute to the Pentagon in Washington, DC.