Data Scientist

Description

We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.

Responsibilities:
Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.
Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.
Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.
Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.
Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.
Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.
Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.
Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.
Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.

Requirements

Experience working as a Data Scientist or in a closely related advanced analytics role.
Hands-on expertise with predictive analytics and data interpretation, ideally within a healthcare or regulated environment.
Proficiency in Power BI, R, Python, and SQL for data analysis, modeling, and reporting.
Experience working with Azure and Microsoft technology stacks, including databases such as SQL Server and MySQL.
Familiarity with big data and data pipeline technologies such as Apache Spark, Hadoop, Kafka, and ETL frameworks.
Demonstrated ability to explain technical concepts and analytical findings to non-technical stakeholders.
Prior experience providing team oversight, mentoring, or supervisory support in an analytics setting.

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