Overview
Skills
Job Details
Job Title: Data Scientist
Position Overview:
We are seeking a highly analytical and innovative Data Scientist . This role will be central to unlocking the value of enterprise data by developing advanced analytics, predictive models, and actionable insights that support strategic decision-making and operational excellence across the organization.
Program Objectives:
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Establish a Single Source of Truth (SSOT) for standardized, high-quality data
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Enable a Multifunctional Version of Truth (MVOT) through agile integration of diverse data sources
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Deliver Centralized Business Intelligence for automated, real-time insights
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Build capabilities in:
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Population health
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Member engagement
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Quality improvement
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Revenue optimization
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Total cost of care
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Compliance and risk management
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Key Responsibilities:
Advanced Analytics & Modeling:
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Design and implement predictive models, machine learning algorithms, and statistical analyses to support program goals
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Analyze complex datasets to identify trends, patterns, and opportunities for improvement in healthcare delivery and operations
Data Engineering & Integration:
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Collaborate with data engineers to ensure robust data pipelines and integration of diverse data sources into the analytics ecosystem
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Support the development of the SSOT and MVOT frameworks through data profiling, transformation, and validation
Insight Generation & Visualization:
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Translate analytical findings into compelling visualizations and dashboards using tools like Tableau or Power BI
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Present insights to stakeholders across business units to inform strategic and operational decisions
Collaboration & Innovation:
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Work closely with business analysts, quality assurance analysts, and enterprise architects to align analytics solutions with business needs
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Stay current with emerging data science techniques and tools to continuously enhance analytics capabilities
Governance & Compliance:
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Ensure all analytics work adheres to data governance policies, privacy regulations (e.g., HIPAA), and enterprise architecture standards
Qualifications:
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Master's or Ph.D. in Data Science, Statistics, Computer Science, Public Health, or a related field
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5+ years of experience in data science, preferably in healthcare or insurance domains
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Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow)
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Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Spark, Hadoop)
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Strong communication skills with the ability to explain complex concepts to non-technical stakeholders