Data Scientist

Summary

Join WiredPeople as a Data Scientist and contribute to Florida's public health goals. You will be part of an interdisciplinary team conducting advanced statistical modeling and population estimation using large-scale datasets. Leveraging data linkage, statistical methodologies, and geospatial analysis, you will provide actionable insights for policymakers. This fully remote role requires some travel to Florida and involves collaboration with epidemiologists and public health professionals. The ideal candidate possesses strong statistical modeling and data visualization skills, along with experience in epidemiology, preferably related to opioid abatement. You will be a contributing member of a larger project team.

Requirements

• Master’s degree in Public Health, Epidemiology, Statistics, Data Science, or a related field
• Five (5) years of experience in epidemiology, statistical modeling, or data analysis
• Proficiency in R and Microsoft Office Suite (Excel, Word, PowerPoint)
• Experience working with large datasets and applying advanced statistical methodologies
• Strong written and verbal communication skills for technical and non-technical audiences

Responsibilities

• Utilize Capture-Recapture methods to cross-reference multiple data sources and estimate population sizes
• Implement Multi-Source Estimation techniques, controlling for duplicates and applying predictive modeling for accurate population estimation
• Apply Epidemiological Multiplier methodologies to adjust for underreporting and missing data
• Conduct Triangulation Analysis by overlaying datasets to identify trends, correlations, and disparities
• Use Bootstrap Methods and construct Confidence Intervals to assess model precision
• Perform Sensitivity Analysis to evaluate the impact of data variability on estimates
• Develop Geospatial Mapping & Data Visualization using tools such as ArcGIS or QGIS
• Conduct Model Calibration & Validation to ensure statistical reliability and alignment with real-world data
• Clean and preprocess large-scale epidemiological and demographic datasets
• Advise ISF staff on data linkage techniques to match individuals across datasets accurately
• Ensure compliance with data governance, confidentiality regulations, and industry recognized ethical standards
• Develop data visualizations, dashboards, and reports to communicate key findings effectively
• Support the creation of technical reports and presentations summarizing methodologies and results
• Communicate statistical findings to stakeholders, including government agencies and public health professionals
• Work closely with epidemiologists, statisticians, and public health professionals to refine methodologies and validate findings
• Stay updated on emerging trends in population estimation and epidemiological research
• Provide recommendations for policy implications, program needs, and intervention strategies based on data analysis

Preferred Qualifications

• Doctoral degree in Epidemiology, Statistics, or a related field
• Experience with Stata, SAS, MSSQL, Power BI, ArcGIS/QGIS, and Azure Data Factory
• Previous experience in opioid surveillance, population estimation, and/or public health research
• Knowledge of federal and state regulations related to public health data governance

Benefits

Fully remote role with the expectation of some required travel to Florida throughout the engagement