GRVTY is seeking a Senior Data Scientist to support an IC program building an enterprise-scale analytics and data management framework for geospatial intelligence products. The program is in active development and is not a maintenance role; you will contribute to a system built from the ground up with real influence over design and implementation. You will apply machine learning, statistical analysis, and data mining techniques to large-scale geospatial and imagery datasets to generate automated IV&V metrics and analytical insights. You will work closely with software engineers, systems architects, and government stakeholders to design analytical workflows, build pipelines, and ensure outputs are technically sound and mission-relevant. This role requires someone who can write production-quality code and explain analytical methodology to a non-technical government customer. Responsibilities include developing and applying ML, statistical, and data mining techniques to extract metrics and insights from large geospatial and imagery datasets; designing and implementing automated analytical workflows that support IV&V evaluation of GEOINT data across multiple source types and collection geometries; building and optimizing data pipelines for ingesting, transforming, and processing multi-source geospatial data at scale; collaborating with software engineers and the solutions architect to integrate analytical components into the broader system architecture so models run in production rather than in notebooks; evaluating analytical output quality, identifying failure modes, and iter

GRVTY is seeking a Senior Data Scientist to support an IC program building an enterprise-scale analytics and data management framework for geospatial intelligence products. The program is in active development and is not a maintenance role; you will contribute to a system built from the ground up with real influence over design and implementation. You will apply machine learning, statistical analysis, and data mining techniques to large-scale geospatial and imagery datasets to generate automated IV&V metrics and analytical insights. You will work closely with software engineers, systems architects, and government stakeholders to design analytical workflows, build pipelines, and ensure outputs are technically sound and mission-relevant. This role requires someone who can write production-quality code and explain analytical methodology to a non-technical government customer. Responsibilities include developing and applying ML, statistical, and data mining techniques to extract metrics and insights from large geospatial and imagery datasets; designing and implementing automated analytical workflows that support IV&V evaluation of GEOINT data across multiple source types and collection geometries; building and optimizing data pipelines for ingesting, transforming, and processing multi-source geospatial data at scale; collaborating with software engineers and the solutions architect to integrate analytical components into the broader system architecture so models run in production rather than in notebooks; evaluating analytical output quality, identifying failure modes, and iter