Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, and enhance data analysis and visualization tools to support decision-making in public health.

• Examine a variety of public health datasets to uncover trends, patterns, and correlations.

• Utilize statistical methods and machine learning techniques to derive actionable insights.

• Create predictive models to analyze disease patterns, risk factors, and intervention strategies.

• Generate estimates for small populations and rural areas while developing interactive surveillance dashboards.

• Offer geospatial analysis support for surveillance of infectious diseases and epidemiological studies.

• Leverage Natural Language Processing for automated processing and case detection of unstructured data.

• Enhance algorithms for improved accuracy and performance.

• Develop visualizations and reports, and present findings to stakeholders and decision-makers.

• Collaborate with public health organizations and partners to assess data requirements.

• Deliver data-driven recommendations for public health policies and initiatives.

• Provide training and technical support to epidemiologists in tools such as Power BI, ArcGIS, SAS, and data analysis.

• Stay informed about current trends in data science and analytics, and seek innovative solutions to public health challenges.

⛳️ Requirements

• A Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or a related discipline.

• At least 5 years of relevant professional experience.

• Expertise in data visualization tools, specifically Power BI.

• Proficient in ArcGIS software suites.

• Skilled in statistical packages such as SAS.

• Knowledgeable in programming languages such as Python or R.

• Experienced in data manipulation and analysis using tools like SQL.

• Familiarity with Natural Language Processing techniques for text classification or information extraction, particularly in healthcare or public health text data.

• Experience with small area estimation techniques, Bayesian hierarchical models, or multilevel modeling.

• Ability to interpret complex datasets and extract meaningful insights.

• Experience collaborating in a virtual environment with remote partners and teams.

• Proficient in Microsoft Office applications.

• Must reside in the United States.

🏝️ Benefits

• Benefits are included with the hourly salary.

• Opportunity for remote work.

• Work in a smoke-free environment.