Data Scientist

CDC Foundation

Senior Data Scientist leveraging data for public health initiatives at the CDC Foundation. Focusing on advanced analytics and insights to improve public health programs.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $92,700 - $134,275 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing advanced analytics solutions using Azure Synapse Analytics, applying statistical analysis and machine learning techniques to healthcare data. Proficient in translating complex analytical findings into actionable insights for diverse stakeholders.

Highest-signal resume keywords

Azure Synapse AnalyticsStatistical AnalysisMachine LearningPower BIPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMachine LearningPredictive ModelingData ValidationSQLData ModelingDAXData PreparationForecastingClustering

Soft Skills

Analytical ThinkingProblem-SolvingData StorytellingCommunication

Tools & Technologies

Azure Synapse SparkPower BISQL PoolsOpen-Source Tools

Industry Keywords

Public HealthHealthcare DataData GovernanceData QualityData Lineage

Tech Stack

Tools & technologies

AzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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