Internal Revenue Service
Mathematical Statistician (Data Scientist)
Internal Revenue Service, Washington, District of Columbia, us, 20022
Research, Applied Analytics, and Statistics (RAAS) anticipates and meets customers' needs by providing leading research, analytical, statistical, and technology services. RAAS provides an intellectually challenging and supportive environment for our employees. We are the leading source for data analytics, analytical and statistical support, research tools and information, and breakthrough technologies within the IRS. RAAS recommendations, studies and data are effectively used to assist in the administration of the U.S. tax system and to improve IRS performance. Our projects encompass a variety of subjects, including statistical analyses, program evaluations, research on topics affecting tax administration, compliance studies and the administration of enterprise research resources. RAAS serves as a consultant to the IRS Commissioner and the Senior Executive Team and is a strategic partner for decisions affecting Service-wide operations.
Responsibilities:
Serves as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project's design and objectives. Explores novel methods of retrieving data and develops innovative recommendations to management and senior leadership as a means for making data driven decisions such as modification of processes and policies. Reviews, evaluates, validates, and documents the results of the findings. Assists the supervisor in determining the scope, goals and schedules for future programs in the Office. Results have a direct impact on assigned area's policy. Acts as a troubleshooter in resolving bottlenecks at any step in a project by identifying and proposing solutions; this may include coordination with other project team members or stakeholders to mitigate issues. Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions. Identifies and assesses relevant data sources' validity and reliability to meet project needs. Collates, cleans, transforms, analyzes, and integrates structured and unstructured data from various sources in preparation for analysis.
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Serves as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project's design and objectives. Explores novel methods of retrieving data and develops innovative recommendations to management and senior leadership as a means for making data driven decisions such as modification of processes and policies. Reviews, evaluates, validates, and documents the results of the findings. Assists the supervisor in determining the scope, goals and schedules for future programs in the Office. Results have a direct impact on assigned area's policy. Acts as a troubleshooter in resolving bottlenecks at any step in a project by identifying and proposing solutions; this may include coordination with other project team members or stakeholders to mitigate issues. Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions. Identifies and assesses relevant data sources' validity and reliability to meet project needs. Collates, cleans, transforms, analyzes, and integrates structured and unstructured data from various sources in preparation for analysis.
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