Remote Data Scientist

Summary

Join the CDC Foundation as a Data Scientist to leverage data and inform strategic decisions in public health. This role will design interactive dashboards, implement complex models, and analyze large datasets to provide actionable insights.

Requirements

• Strong experience as a Power BI developer, especially in public health or healthcare data
• Proficiency in complex Power BI modeling, including the use of DAX functions for custom calculations and analytics
• Familiarity with Microsoft Office Suite (Word, SharePoint, PowerPoint, etc.)
• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field. Master’s or PhD in related field preferred
• Minimum 5 years of relevant professional experience
• Proficiency in programming languages such as Python or R
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy)
• Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn)
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Strong analytical thinking and problem-solving abilities
• Ability to interpret complex datasets and derive meaningful insights
• Excellent verbal and written communication skills
• Ability to convey technical concepts to non-technical partners effectively
• Flexibility to adapt to evolving project requirements and priorities

Responsibilities

• Design and develop interactive dashboards using Power BI to present public health data, allowing professionals to gain actionable insights
• Implement complex Power BI models and use DAX functions for custom calculations, predictive analysis, and advanced reporting
• Use advanced techniques to create forecasting models and conduct predictive analysis to inform public health decisions and strategies
• Analyze large datasets, identifying trends and patterns to provide strategic recommendations
• Collaborate with public health professionals and stakeholders to understand data needs and provide solutions that support data-driven decision-making
• Communicate complex technical information to non-technical stakeholders clearly and effectively
• Analyze diverse datasets related to public health issues to identify trends, patterns, and correlations
• Apply statistical methods and machine learning algorithms to extract actionable insights
• Develop predictive models to anticipate disease patterns, assess risk factors, and guide intervention strategies
• Continuously optimize algorithms for enhanced accuracy and performance
• Create compelling visualizations and reports to communicate findings to partners and decision-makers
• Present data-driven insights in a clear and understandable manner to facilitate informed decision-making
• Collaborate with the public health organization and its partners to understand their data needs and objectives
• Provide data-driven support and guidance to inform public health policies and initiatives
• Stay abreast of emerging trends, technologies, and methodologies in data science and analytics
• Explore innovative approaches to address complex public health challenges and improve data analysis capabilities

Preferred Qualifications

• Preferred proficiency in one or more of the following: SQL, R, SAS (Enterprise Guide)
• Professional certifications in data science, machine learning, or public health analytics preferred

Benefits

Salary Range: $92,700-$134,275 per year