USAJOBS · 2 days ago

Data Scientist

Suitland, MD

Full-time

Hybrid

Entry, Mid Level

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Responsibilities

Participates in planning, designing, developing, and implementing state-of-the-art data science applications, models, technologies, and guide principles for data use and analysis.

Conducts research and statistical analysis on available data, as directed, and presents findings in suitable formats. Alters instructions, methodologies, and/or guidelines, as directed.

Writes and executes program code to perform data processes that are clear and efficient, interprets and analyzes results, and uses data visualization to communicate insights and outcomes to stakeholders.

Collaborates with other team members to support the aggregation of software and hardware technologies required to integrate resources and provide a useful, usable, and enabling framework for programs.

Participates in the development of new user interfaces and supports adapting tools for displaying scientific information; implements common data standards and metadata schema for discoverability and interoperability of data, as directed.

Qualification

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MathematicsStatisticsComputer ScienceData ScienceStatistical AnalysisProgram DevelopmentTraining DeliveryData AnalysisDatabase QueriesSQL Server

Required

Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

Specialized Experience: For the GS-12, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-11 in the Federal service. Experience for this position includes: participating in research and statistical analysis on available data and evaluates the effectiveness of statistical programs/applications; modifying instructions, methodologies, and/or guidelines as necessary to achieve program objectives; developing program material and documentation; developing or presenting training to internal or external audiences on data science topics; participating in the analysis of management information requirements to develop program or administrative reporting systems including the systems specifications, data gathering and analytical techniques, and systems evaluation methodology; performing queries using various types of database and analytical tools (e.g., SQL Server).