The National Institutes of Health · 5 days ago

Data Scientist

Indiana, United States

Full-time

Onsite

Mid Level

3+ years exp

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Responsibilities

Perform 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.

Implement machine learning/AI tools (e.g., NLP, DP, RL) to extract insights from data.

Summarize data analysis results using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau) to prepare presentations for external stakeholders.

Qualification

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MathematicsStatisticsComputer ScienceData ScienceProgramming Languages RProgramming Languages PythonFeature EngineeringAdvanced Statistical Methods/Techniques MANOVAAdvanced Statistical Methods/Techniques Bayesian AnalysisMachine Learning/AI ToolsNLPDPRLData Visualization ToolsMATLABTableauData AnalysisPresentationsUnstructured DataDeep LearningReinforcement LearningData 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

At least 30 semester hours of education and additional appropriate/related experience equivalent to a major in mathematics, statistics, computer science, data science, or a related field

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

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 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)