Jobs at Geo Owl

Develop and operationalize Python-based data science solutions supporting DoD and Intelligence Community missions. Integrate structured and unstructured data from APIs and enterprise repositories, build analytic pipelines, dashboards, visualizations, and interfaces, and modernize legacy workflows. Analyze large datasets, create automated processes, architect scalable solutions, document workflows, and identify patterns to improve intelligence production, analytic rigor, transparency, and mission effectiveness.

Owns data architecture and pipeline infrastructure for classified government AI model evaluation. Responsibilities include building database schemas, ETL workflows, API-based cross-domain data movement, sensor data standardization, geospatial transformations, pipeline monitoring, governance compliance, and documentation. The role requires collaboration with imagery scientists and government customers in a SCIF-based environment.

Design, develop, and support Palantir Foundry applications, data pipelines, ontologies, and analytics products. Integrate enterprise data sources, perform data quality and performance optimization, build dashboards and workflows, and collaborate with mission users. Provide documentation, training, and apply security, governance, and software development standards.

Designs and integrates approved AI/ML tools into intelligence workflows by evaluating and configuring tools, redesigning processes, building prompt libraries and templates, measuring performance with KPIs, applying Lean Six Sigma improvements, and driving analyst adoption through training and stakeholder collaboration.

Develop and apply AI/ML and advanced analytics to transform large structured and unstructured intelligence data into actionable insights. Perform data cleaning, integration, validation, and visualization; build automated analytical methodologies and ML models; produce dashboards in Tableau and Power BI; apply intelligence tradecraft (ABI); collaborate with analysts, engineers, and government stakeholders; document methodologies and support continuous process improvement.