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 utilize advanced analytics, statistical techniques, and machine learning algorithms to derive insights that support public health efforts.

Requirements

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field
• Minimum 5 years of relevant professional experience
• Experience with data integration and automation
• Proficiency in programming languages such as Python or R preferred
• 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
• Professional certifications in data science, machine learning, or public health analytics preferred
• 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
• 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
• Collaborate with other departments and to analyze and distill requirements needed to develop and augment deliverables
• 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
• Integrate data from different sources into data science environments
• Implement automation of dashboard updates
• Develop, test and deploy user interface updates to a dashboard