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C
Data Scientist
CDC Foundation. Develop, implement, and improve data analysis and visualization tools for public health decision-making .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, visualization, and predictive modeling to support public health decision-making. Proficient in applying statistical methods, machine learning, and Natural Language Processing to derive actionable insights from complex datasets.
Highest-signal resume keywords
Data AnalysisPredictive ModelingNatural Language ProcessingData VisualizationStatistical Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisPredictive ModelingStatistical AnalysisNatural Language ProcessingData ManipulationMachine LearningGeospatial AnalysisSmall Area EstimationBayesian Hierarchical ModelsMultilevel Modeling
Soft Skills
CollaborationCommunicationTrainingProblem-SolvingInterpersonal Skills
Tools & Technologies
Power BIArcGISSASPythonRSQLMicrosoft Office
Industry Keywords
Public HealthEpidemiologyData ScienceHealth Data AnalysisInfectious Disease Surveillance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop, implement, and improve data analysis and visualization tools for public health decision-making
- Analyze diverse public health datasets to identify trends, patterns, and correlations
- Apply statistical methods and machine learning algorithms to extract actionable insights
- Develop predictive models for disease patterns, risk factors, and intervention strategies
- Produce small-population and rural-region estimates and build interactive surveillance dashboards
- Provide geospatial analysis support for infectious disease surveillance and epidemiologic investigations
- Apply Natural Language Processing to unstructured data for automated processing and case detection
- Optimize algorithms for accuracy and performance
- Create visualizations and reports and present findings to partners and decision-makers
- Collaborate with public health organizations and partners to understand data needs
- Provide data-driven guidance for public health policies and initiatives
- Provide training and technical assistance to epidemiologists in Power BI, ArcGIS, SAS, and data analysis
- Stay current with data science and analytics trends and explore innovative approaches to public health challenges
Requirements
What you’ll need- Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or a related field
- Minimum 5 years of relevant professional experience
- Proficiency in data visualization tools such as Power BI
- Proficiency in ArcGIS software suites
- Proficiency in statistical packages such as SAS
- Proficiency in Python or R
- Experience with data manipulation and analysis tools such as SQL
- Experience applying Natural Language Processing techniques for text classification or information extraction, preferably on healthcare or public health text data
- Experience with small area estimation techniques, Bayesian hierarchical models, or multilevel modeling
- Ability to interpret complex datasets and derive meaningful insights
- Experience working in a virtual environment with remote partners and teams
- Proficiency in Microsoft Office
- Must be based in the United States
Benefits
Comp & perks- Benefits included with the hourly salary
- Remote work
- Smoke-free environment