Data Scientist (strategy/ Policy/ Plans)

About the role

The primary purpose of this position is: To provide authoritative data science expertise to a wide range of highly complex, highly visible initiatives and projects focused on the discovery and development of cutting-edge tools and resources to easily access, store, analyze, and exchange complex, high-quality data. Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information. In order to qualify, you must meet the basic requirements and specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific Positions BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/ In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: SPECIALIZED EXPERIENCE: GS-11: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-09, or equivalent in other pay systems. Examples of specialized experience includes professional knowledge of a broad range of data analyses, mathematics, statistical analysis, modeling/simulation, and/or other scientific concepts, principles, standards, methods, techniques, practices, and procedures to plan, coordinate, and execute studies of marked difficulty and responsibility. Knowledge and familiarity with data modeling, query authoring and performance tuning with an in depth understanding of data modeling best practices, relational and graph databases to perform a full range of specialized duties. Knowledge of analytical, mathematical, or statistical theories, principles, concepts, methods, and techniques to provide expert judgments concerning the validity of assumptions made and the criteria to evaluate alternatives. OR EDUCATION: Meet basic requirement and have 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. GS-12: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-11, or equivalent in other pay systems. Examples of specialized experience includes using professional knowledge of a broad range of data analyses, mathematics, statistical analysis, modeling/simulation, and/or other scientific concepts, principles, standards, methods, techniques, practices, and procedures to plan, coordinate, and execute studies of marked difficulty and responsibility. Professional knowledge and familiarity with data modeling, query authoring and performance tuning with an in depth understanding of data modeling best practices, relational and graph databases to perform a full range of specialized duties. Applying knowledge of analytical, mathematical, or statistical theories, principles, concepts, methods, and techniques to provide expert judgments concerning the validity of assumptions made and the criteria to evaluate alternatives. Working with large and complex data sets and performing extensive analysis of volumes of data and designing and delivering frameworks to facilitate the data development lifecycle and design, implementation integration and maintenance of the pipeline and data warehouse and transitions to cloud-based data solutions. Utilizing knowledge of information systems security principles and concepts in order to ensure all data analytics efforts are conducted in accordance with information security best practices. GS-13: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-12, or equivalent in other pay systems. Examples of specialized experience includes having professional knowledge and mastery of a broad range of data analyses, mathematics, statistical analysis, modeling/simulation, and/or other scientific concepts, principles, standards, methods, techniques, practices, and procedures to provide data-focused and data-informed inputs to Directorate senior leaders. Using professional knowledge and expertise in data modeling, query authoring and performance tuning with an in-depth understanding of data modeling best practices, relational and graph databases to advise on the directorate's needs to advance future capabilities. Knowledge of advanced, analytical, mathematical, or statistical theories, principles, concepts, methods, and techniques to provide expert judgments concerning the validity of assumptions made and the criteria to evaluate alternatives. Working with large and complex data sets and performing extensive analysis of volumes of data and designing and delivering frameworks to facilitate the data development lifecycle and design, implementation integration and maintenance of the pipeline and data warehouse and transitions to cloud-based data solutions. Extensive knowledge and mastery of rese

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Company Intel

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