Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and implement sophisticated analytics solutions utilizing curated Silver and Gold layer datasets within Azure Synapse Analytics.

• Employ statistical analysis, machine learning, and predictive modeling techniques to uncover trends, risks, and outcomes in healthcare and public health data.

• Design and validate models for forecasting, classification, clustering, and anomaly detection to aid in population health, program evaluation, and operational decision-making.

• Work collaboratively with data engineering teams to establish analytical requirements for Bronze, Silver, and Gold data layers.

• Leverage Azure Synapse Spark pools and SQL pools to explore, analyze, and prepare data for advanced analytics and modeling.

• Ensure that analytical outputs are reproducible, scalable, and compliant with enterprise data standards.

• Create and develop Power BI dashboards, reports, and semantic models that effectively convey insights to both technical and non-technical stakeholders.

• Convert complex analytical findings into straightforward, actionable narratives aimed at public health leaders and program teams.

• Utilize AI and ML techniques through Azure-native or open-source tools.

• Collaborate with data engineering and governance teams to ensure the quality, lineage, and trustworthiness of analytical datasets.

⛳️ Requirements

• Bachelor's degree in data science, Statistics, Computer Science, Public Health, Informatics, or a related field (master's degree preferred).

• At least 5 years of experience in data science, advanced analytics, or applied analytics roles.

• Strong expertise in Python and/or R for statistical analysis and machine learning.

• Experience with SQL and large analytical datasets in cloud or data warehouse environments.

• Practical experience with Power BI, including data modeling, DAX, and dashboard design.

• Comprehensive understanding of statistical methods, predictive modeling, and data validation techniques.

• Ability to articulate complex analytical concepts clearly to non-technical stakeholders.

• Strong analytical thinking, problem-solving, and data storytelling abilities.

🏝️ Benefits

• Fully remote work arrangement for U.S. based candidates.

• Engaging involvement in dynamic public health programs.

• Health insurance coverage.

• Opportunities for professional development.