Data Science /AI- REMOTE
Data Science /AI- REMOTE
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1 Vacancy
Job Description
Data Science /AI @ Remote
Program Objectives:
The FDA Program is designed to:
Establish a Single Source of Truth (SSOT) for standardized high-quality data.
Enable a Multifunctional Version of Truth (MVOT) through agile integration of diverse data sources.
Deliver Centralized Business Intelligence for automated real-time insights.
Build capabilities in population health member engagement quality improvement revenue optimization total cost of care and compliance/risk management.
Key Responsibilities:
Advanced Analytics & Modeling:
Design and implement predictive models machine learning algorithms and statistical analyses to support FDA program goals.
Analyze complex datasets to identify trends patterns and opportunities for improvement in healthcare delivery and operations.
Data Engineering & Integration:
Collaborate with data engineers to ensure robust data pipelines and integration of diverse data sources into the analytics ecosystem.
Support the development of the SSOT and MVOT frameworks through data profiling transformation and validation.
Insight Generation & Visualization:
Translate analytical findings into compelling visualizations and dashboards using tools like Tableau or Power BI.
Present insights to stakeholders across business units to inform strategic and operational decisions.
Collaboration & Innovation:
Work closely with business analysts quality assurance analysts and enterprise architects to align analytics solutions with business needs.
Stay current with emerging data science techniques and tools to continuously enhance analytics capabilities.
Governance & Compliance:
Ensure all analytics work adheres to data governance policies privacy regulations (e.g. HIPAA) and enterprise architecture standards.
Qualifications:
Masters or Ph.D. in Data Science Statistics Computer Science Public Health or a related field.
5 years of experience in data science preferably in healthcare or insurance domains.
Proficiency in Python R SQL and machine learning libraries (e.g. scikit-learn TensorFlow).
Experience with cloud platforms (e.g. AWS Azure) and big data technologies (e.g. Spark Hadoop).
Strong communication skills and ability to explain complex concepts to non-technical stakeholders.
Employment Type
Full-time
