Remote Data Scientist

Summary

Join the CDC Foundation as a Data Scientist to advance its mission by leveraging data to inform strategic decisions and initiatives in a public health organization.

Requirements

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, Health Informatics, or related field
• Minimum 5 years of relevant professional experience
• Expertise with data visualization tools (e.g., Tableau, Power BI)
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy)
• 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
• Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues, partners, and partners
• Demonstrated ability to work well independently and within teams
• Experience working in a virtual environment with remote partners and teams
• Proficiency in Microsoft Office

Responsibilities

• Develop, implement, and improve data analysis and visualization tools for use by organization staff
• Support efforts to build data visualization capacity across MDHHS PHA business areas through direct staff engagement
• Analyze diverse datasets related to public health issues to identify trends, patterns, and correlations
• Serve as trusted advisor to MDHHS PHA business areas on data visualization and reporting best practices
• 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 MDHHS PHA and its partners to understand their data needs and objectives
• 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