Data Scientist I- Public Health at Cherokee Nation in Atlanta, GA

Summary: Cherokee Nation is a trusted partner for federal clients, seeking a Data Scientist I for their Public Health initiatives. The role involves providing analytical and technical support for public health surveillance, data engineering, and advanced analytics within the CDC’s Division of Global Migration Health, focusing on building data pipelines and performing large-scale data analysis. Responsibilities: - Design, build, and maintain data pipelines to ingest, transform, and validate large datasets supporting public health surveillance efforts - Analyze complex datasets to identify trends, anomalies, and actionable insights that inform program operations and decision-making - Develop and support statistical analyses, basic modeling, and data-driven reporting to support monitoring and forecasting activities - Clean, standardize, and validate data to ensure accuracy, consistency, and usability across systems and reporting outputs - Create dashboards, visualizations, and reports to communicate findings to both technical and non-technical stakeholders - Document data processes, workflows, and standard operating procedures to support reproducibility and data governance - Integrate data from multiple internal systems and external partners, ensuring alignment with program needs - Automate routine data processing and reporting tasks to improve efficiency and reduce manual effort - Collaborate with cross-functional teams, including epidemiologists, bioinformaticians, and program staff to support analytics and data initiatives - Participate in meetings, briefings, and stakeholder engagements to support program coordination and data interpretation Required Qualifications: - U.S. citizenship or legal permanent residency - An active NACI clearance or the ability to obtain a NACI clearance - Master's degree in Data Science, Bioinformatics, Statistics, Computer Science, Epidemiology, or related quantitative field - Strong experience working with large datasets and complex data structures - Proficiency in Python (preferred), R, or similar programming languages - SQL and database querying - Data processing frameworks (e.g., PySpark) - Experience building and maintaining data pipelines and reproducible workflows - Knowledge of statistical modeling, machine learning, or advanced analytics techniques - Strong problem-solving and analytical skills - Ability to manage multiple priorities and deadlines in a fast-paced environment - Strong written and verbal communication skills - Advanced proficiency in Microsoft Office (Outlook, Word, Excel, PowerPoint) - Must pass the pre-employment qualifications of Cherokee Federal Preferred Qualifications: - Experience with public health surveillance systems or datasets - Experience with platforms such as Palantir Foundry or CDC 1CDP - Experience developing dashboards or data visualization tools (Tableau, Power BI, or similar) - Familiarity with data governance, security, and compliance in federal environments - Experience integrating data from multiple sources and partners - Exposure to time-series analysis, forecasting, or anomaly detection Required Skills: Data Science, Bioinformatics, Statistics, Computer Science, Epidemiology, Python, R, SQL, Data Processing Frameworks, PySpark, Data Pipeline Development, Reproducible Workflows, Statistical Modeling, Machine Learning, Advanced Analytics, Microsoft Office, Public Health Surveillance Systems, Data Visualization, Tableau, Power BI, Data Governance, Data Integration, Time-Series Analysis, Forecasting, Anomaly Detection, Database Querying, Analytical Skills, Priority Management Benefits: Medical, Dental, Vision, 401K, And other possible benefits as provided.