Guides implementation and configuration of tools and other computational resources within established information security boundaries. Uses cloud-based Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) capabilities to perform data science. Develops forensically sound, auditable, flexible, repeatable, and scalable extract transform and load (ETL) capabilities on a variety of structure and unstructured data. Implements data quality considerations, including complex data processing, data quality assessment, data imputation, and data governance-including metadata as well as engineered features. Uses common data science tools, including scripted languages such as R, Python, SQL, and Java Scripts Integrated Development Environment (IDE) and analytics platforms such as RStudio, SageMaker, RapidMiner, SAS, and Domino Data Lab open-source solutions such as Kibana, Kubernetes, and elastic search commercial off-the-shelf tools such as Informatica and Neo4j and hardware-based capabilities such as Graphics Processing Units (GPU). Assesses disparate impacts, mitigates model biases, and evaluates relevant performance criteria, as applicable. Builds, optimizes, orchestrates, deploys, and tunes data science models and prototypes. Applies and combines diverse data science techniques including: Machine Learning, natural language processing, artificial intelligence, geospatial analyses, graph-based network modeling, advanced visualizations, descriptive statistics, and other statistical/mathematical/analytical methods to produce cohesive, user-centric solutions. As necessary, the incumbent will work with experts outside GAO to determine leading practices for advanced analytics. Leads projects through the innovation lifecycle from ideation through deployment in order to develop next generation advanced analytics capabilities in support of current and future audits, investigations, business operations, and other oversight challenges relevant to GAO's mission.
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The STAA, Innovation Lab is seeking an experienced professional to serve as a Senior Data Scientist to perform the following:
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