Data Scientist-Direct Hire
Internal Revenue ServiceWHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)? A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions Position(s) are to be filled in the following area(s): DAO - DATA AND ANALYTICS Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
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The following are the duties of this position at the full working level. If this vacancy includes more than one grade and you are selected at a lower grade level, you will have the opportunity to learn to perform these duties and receive training to help you grow in this position. Identifies, analyzes data that's collected, devises methods, develop processes, tools, systems, and machine learning algorithms to instrument of the agency's tax administration. This process transforms raw data into program models and actionable business intelligence. Extracts and interprets findings from various structured and unstructured data sets related to the data science lifecycle. The incumbent is responsible for the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. Uses emerging technology, and various data sources to perform exploratory analyses on new and archival data sources. Conducts in-depth analysis of data and disseminates the results of those analyses. Identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes. Conducts statistical analysis to make informed projections and recommendations for improvements. Collaborates with IRS information technology leaders on desired new technologies and techniques to create efficient processes around data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business units. Combines, analyzes, and interprets large and/or complex data sets to develop organizational solutions for methodical data analysis projects and trends throughout the enterprise. Develops and implements customer strategy, design of products and services, and support platform development. The incumbent focuses on analyzing and supporting the development of enhanced user experiences and engagement through the entire lifecycle of customers' interactions. Analyzes a variety of data sources to provide data-driven insights to the business unit to streamline processes.
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