Data Scientist

Overview

The Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements.

Working within the Chickasaw Nation Department of Health (CNDH), Division of Public Health, the Data Scientist will utilize advanced analytics, statistical techniques, and machine learning algorithms to derive insights that support public health efforts. The Data Scientist will use training, mentorship, and project-based learning approaches to develop staff capacity for statistical modeling, data visualization, and data communication among the Division of Public Health team, while facilitating needed data governance and tribal data sovereignty frameworks.

The Data Scientist will be hired by the CDC Foundation and assigned to the CNDH Division of Public Health. This position is eligible for a fully remote work arrangement for U.S. based candidates.

• Develop, implement, and improve data analysis and visualization tools for use by organization staff, to provide timely, relevant information that informs decisions affecting the public’s health.
• 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.
• Up to 10% domestic travel may be required.

• 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, Num Py).
• Knowledge of machine learning frameworks (e.g., Tensor Flow, 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 with tribal nations and tribal data sovereignty is preferred.
• Experience working in a virtual environment with remote partners and teams.
• Proficiency in Microsoft Office

• Location:
  
  Remote, must be based in the United States, Up to 10% domestic travel may be required.
• Salary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.
• Position Type:
  Grant funded, limited-term opportunity
• Position End Date:
  June 30, 2027

This role is…