Data Scientist
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Job Description
Data Scientist developing analytics, predictive models, and surveillance tools for CDC Foundation public health programs. Supporting Delaware epidemiologists with Power BI, ArcGIS, SAS, and NLP.
Responsibilities:
- 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:
- 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:
- Benefits included with the hourly salary
- Remote work
- Smoke-free environment
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