HHS Careers · 4 days ago

Data Scientist

Gary, IN

Part-time

Onsite

Senior Level

4+ years exp

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Government Administration

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Responsibilities

Design and implement strategies, methodologies, and tools for data collection.

Prepare data for analysis by cleaning, wrangling, and formatting it.

Use computational/statistical techniques for data analysis including AI, data mining, machine learning, and statistical inference.

Represent data visually through charts, graphs, maps, or dashboards.

Develop, implement, or lead data science initiatives, programs, or strategies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data CollectionData PreprocessingData AnalysisProgramming Languages RProgramming Languages PythonFeature EngineeringAdvanced Statistical Methods/Techniques MANOVAAdvanced Statistical Methods/Techniques Bayesian AnalysisMachine Learning/AI ToolsImplementing Machine Learning/AI Tools NLPImplementing Machine Learning/AI Tools DPImplementing Machine Learning/AI Tools RLExtracting Insights from DataSummarizing Data Analysis ResultsData Visualization ToolsMATLABTableauPresentations for External StakeholdersEnhancing Data CollectionAdapting Programming Language CodesAdapting Machine Learning/AI TechniquesExplaining FindingsExplaining Data Science ConceptsPlanning Data Initiatives

Required

Possess a bachelor's degree, or graduate/higher level degree with a major study in mathematics, statistics, computer science, data science, or a field that is directly related to the position; OR, possess a combination of education (at least 30 semester hours) and additional appropriate/related experience that is the equivalent to a major in mathematics, statistics, computer science, data science or a field directly related to the position.

Demonstrate in your resume at least one (1) year of qualifying experience equivalent to at least the GS-11 level in the Federal service obtained in either the private or public sector, performing data collection, preprocessing, and analysis by applying programming languages (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; implementing machine learning/AI tools (e.g., NLP, DP, RL) to extract insights from data; and summarizing data analysis results using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau) to prepare presentations for external stakeholders.

Demonstrate in your resume at least one (1) year of qualifying experience equivalent to at least the GS-12 level in the Federal service obtained in either the private or public sector, performing the following types of tasks: enhancing data collection, preprocessing, and analysis activities by implementing/adapting programming language codes (e.g., R, Python), feature engineering, advanced statistical methods/ techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; adapting and implementing machine learning and Artificial Intelligence techniques (e.g., NLP, Deep Learning, Reinforcement Learning) to extract insights from unstructured data; explaining findings using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau); and explaining data science concepts to stakeholders (e.g., researchers, leadership) to build consensus in planning data initiatives (e.g., data collection, preprocessing, analysis, reporting)