Data Scientist

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CDC Foundation

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1992

🤝 Non-profit

🏥 Healthcare

🌍 Social Impact

Non-profit • Healthcare • Social Impact

CDC Foundation is a 501(c)(3) nonprofit organization that partners with the U. S. Centers for Disease Control and Prevention (CDC) and a broad network of public-, private-, and community-sector organizations to advance public health locally and globally. Since 1995 it has supported high-impact programs and projects (including emergency responses, global health initiatives, workforce services, maternal/newborn NEST kits, and community health programs), mobilizes funding and partners, and runs fundraising and donor-engagement activities to support research, program delivery, and emergency response. The organization works across state, local, and international settings to expand health programs, strengthen public-health capacity, and translate data and research (including AI collaborations) into public-health action.

📋 Description

• Develop and deliver advanced analytics solutions using curated Silver and Gold layer datasets within Azure Synapse Analytics • Apply statistical analysis, machine learning, and predictive modeling techniques to identify trends, risks, and outcomes in healthcare and public health data • Design and validate models for forecasting, classification, clustering, and anomaly detection to support population health, program evaluation, and operational decision-making • Collaborate with data engineering teams to define analytical requirements for Bronze, Silver, and Gold data layers • Utilize Azure Synapse Spark pools and SQL pools to explore, analyze, and prepare data for advanced analytics and modeling • Ensure analytical outputs are reproducible, scalable, and aligned with enterprise data standards • Design and develop Power BI dashboards, reports, and semantic models that communicate insights to technical and non-technical stakeholders • Translate complex analytical findings into clear, actionable narratives for public health leaders and program teams • Apply AI and ML techniques using Azure-native or open-source tools • Partner with data engineering and governance teams to ensure data quality, lineage, and trustworthiness of analytical datasets.

🎯 Requirements

• Bachelor's degree in data science, Statistics, Computer Science, Public Health, Informatics, or related field (master's degree preferred) • Minimum 5 years of experience in data science, advanced analytics, or applied analytics roles • Strong proficiency in Python and/or R for statistical analysis and machine learning • Experience working with SQL and large analytical datasets in cloud or data warehouse environments • Hands-on experience with Power BI, including data modeling, DAX, and dashboard design • Solid understanding of statistical methods, predictive modeling, and data validation techniques • Ability to communicate complex analytical concepts clearly to non-technical stakeholders • Strong analytical thinking, problem-solving, and data storytelling skills.

🏖️ Benefits

• Fully remote work arrangement for U.S. based candidates • Dynamic public health program involvement • Health insurance • Professional development opportunities