Remote Data Scientist

Summary

Join the CDC Foundation as a Data Scientist to leverage data and inform strategic decisions in public health, working with the Michigan Department of Health and Human Services Public Health Administration.

Requirements

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, Health Informatics, or related field
• Minimum 5 years of relevant professional experience
• Strong analytical thinking and problem-solving abilities
• Experience in assessing data quality across large datasets
• Experience in interpreting complex datasets and derive meaningful insights
• Excellent verbal and written communication skills
• Ability to convey technical concepts to non-technical partners and communicate public health concepts to technical focused audiences effectively
• Flexibility to adapt to evolving project requirements and priorities
• Experience in developing and implementing educational or training materials in support of building sustainable technological capabilities
• 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
• Proficiency in programing languages such as Python or R strongly preferred
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy) strongly preferred
• Experience with data visualization tools (e.g., Tableau, Power BI) strongly preferred
• Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn) strongly preferred

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
• Identify data quality improvement opportunities remediation approaches
• Create compelling visualizations and reports to communicate findings to partners and decision-makers
• Create and 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
• Serve as trusted advisor to MDHHS PHA business areas on best practices for the application of ADT message data for public health use
• Serve as thought leader to SOM centralized IT owner on the design and development of a decoupled ADT data solution for public health use
• 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