U.S. Department of the Treasury · 1 week ago

Data Scientist

Portland, OR

Full-time

Onsite

Entry, Mid Level

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Insider Connection @U.S. Department of the Treasury

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Responsibilities

Responsible for the growth of data in the statistics and reporting environment by leading the certification of data sets that are available for reporting, collaborating 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.

Identifies the methods, processes, algorithms, tools, and systems to extract and interpret findings from various structured and unstructured data sets related to the data science lifecycle.

Conducts in-depth analysis of data and disseminates the results of those analyses.

Applies professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for analytical modeling, interpreting models, and/or reporting quantitative information, trends, relationships, and correlations among or within data.

Utilizes an in-depth knowledge of data science techniques and methodologies such as machine learning, predictive analysis, prescriptive analysis and optimization, and other emerging analytical techniques to assist, consult, or lead others in the application of data science techniques.

Qualification

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MathematicsStatisticsComputer ScienceData ScienceAnalytic ApproachesMachine LearningText AnalyticsNatural Language ProcessingGraph TheoryLink AnalysisOptimization ModelsComplex Adaptive SystemsDeep Learning Neural NetworksScientific MethodsProject Planning

Required

A degree in 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.

One year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience includes applying analytic approaches such as machine learning, text analytics, natural language processing, graph theory, link analysis, optimization models, complex adaptive systems, and deep learning neural networks. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience with project planning techniques, negotiating with management, and preparing written and oral communications.

Meet applicable Time in Grade (TIG) requirements.

Meet Time After Competitive Appointment requirements.