Data Scientist-GEOINT

Location: U.S. work authorization is required for an active TS/SCI security clearance.

Company

hirify.global is a service-disabled veteran-owned and woman-owned small business supporting warfighter missions through intelligence, surveillance and reconnaissance, space, cyber, and command and control expertise.

What you will do

• Develop, maintain, validate, and optimize statistical, predictive, and machine learning models for structured and unstructured data.
• Analyze geospatial, imagery, remote sensing, location-based, and intelligence datasets to identify trends, anomalies, risks, and operational insights.
• Design and automate data pipelines for data ingestion, processing, quality control, and analysis.
• Build geospatial models, workflows, maps, dashboards, visualizations, and intelligence products for stakeholder use.
• Conduct spatial and temporal analysis to support situational awareness, target analysis, risk assessment, and operational planning.
• Communicate analytical findings through reports, briefings, presentations, and actionable recommendations.

Requirements

• Active TS/SCI security clearance required.
• Bachelor’s degree in data science, computer science, geography, GIS, geospatial sciences, statistics, mathematics, engineering, intelligence studies, or a related field; 11+ years of experience may substitute for the degree.
• 8+ years of professional experience in intelligence analysis, data science, analytics, geospatial analysis, or a related discipline.
• Proficiency in Python, R, SQL, or comparable analytical programming languages.
• Experience with machine learning, statistical modeling, predictive analytics, GIS tools, geospatial databases, and spatial data formats.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud, with the ability to communicate complex technical findings to diverse audiences.

Nice to have

• Master’s degree in data science, GIS, geospatial intelligence, computer science, statistics, or a related field.
• Experience with satellite imagery, remote sensing, image exploitation, computer vision, big data, or distributed computing.
• Familiarity with Intelligence Community standards, methodologies, and workflows.
• Experience developing geospatial machine learning or artificial intelligence solutions, geospatial web services, APIs, PostGIS, or spatial databases.
• Experience with TensorFlow, Keras, PyTorch, pandas, NumPy, Matlab, Paradigm, DataRobot, text or video processing, or graph analytics.

Culture & Benefits

• Compensation package with annual performance bonuses.
• 401(k) plan and employee stock ownership program.
• Paid federal holidays and paid time off for full-time positions.
• Health, wellness, disability, vision, dental, and life insurance benefits.
• Projected start date is late 2026, contingent on a successful contract bid.