This position is located in GAO's Science, Technology Assessment, and Analytics (STAA) Team - Innovation Lab. STAA’s mission is to produce technology assessments, technical performance audits, science oversight audits, engineering sciences analyses, and advanced analytics and cybersecurity research to Congress and GAO overall.Learn more about this agency
- Provide technical leadership on data science projects and be hands-on with solution development using open-source tools and available Software-as-a-Service capabilities.
- Leads execution of projects throughout the innovation lifecycle from ideation through deployment 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. As necessary, the incumbent will work with experts outside GAO to determine leading practices for advanced analytics.
- Demonstrates mastery level understanding of diverse data science techniques including: Machine Learning (ML, including supervised, unsupervised, and adversarial), natural language processing (NLP, including sentiment classification and topic modeling), deep learning, robotics process automation (RPA), dimension reduction, geospatial analyses, entity resolution, rules-based queries, graph-based network modeling, advanced visualizations, descriptive statistics, and other statistical/mathematical/analytical methods. The incumbent needs to demonstrate how ensembles of these techniques can be harmonized into cohesive, user-centric solutions.
- Demonstrates mastery level understanding of leading practices in model development, optimization, orchestration, deployment, and tuning. The incumbent will also lead assessment of disparate impacts, mitigation of model biases, and evaluation of relevant performance criteria, as applicable.
- Demonstrates mastery level experience in using 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).
- Demonstrates mastery level understanding of data quality considerations, including complex data processing, data quality assessment, data imputation, and data governance—including metadata as well as engineered features. The incumbent will lead the development of forensically sound, auditable, flexible, repeatable, and scalable extract transform and load (ETL) capabilities on a variety of structure and unstructured data.
- Participates in forums, conference, seminars, and panels as expert speakers to articulate technical methodologies as well as oversight considerations. The incumbent may also be called to author or contribute contents for publication, review GAO products for supportable conclusions regarding sound data science methodological practices, and provide presentations to both internal GAO customers and external customers such as Congressional staff.
- Identifies deficiencies in problem statements, proposed approaches, and/or data access issues which are significant to the design, development, execution, and reporting out of advanced analytics pilots of the Innovation Lab.
- Supports GAO’s Chief Data Scientist (CDS) and Director of the Innovation Lab in developing, defining, and driving GAO’s strategy with regard to the exploration and deployment of advanced analytics techniques for improved or novel business outcomes.
- Serves as a Designated Performance Manager (DPM) responsible for supervising, evaluating and documenting work performance of assigned staff. Identifies training and developmental needs and makes provisions for training as required by performance expectations. Coaches staff in skills development, oversees individual development activities, and provides opportunities to develop increased capabilities through a variety of projects and assignments. Hears and resolves employee complaints, recommends disciplinary measures such as warnings and reprimands, and recommends other action in more serious cases. Refers unresolved grievances or more serious complaints to higher-level management.
Occasional travel - Some travel may be required.
This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/564195200. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.