Data Science Engineer / Healthcare Data Analyst

As a Data Analyst with deep experience in the US Healthcare industry and skills around Machine Learning (ML), you will play a vital role in conducting comprehensive data analysis using statistical and exploratory methods to uncover patterns and insights that drive data-driven decision-making in the healthcare domain. Leveraging your knowledge of healthcare industry metrics such as HEDIS, CMS Star Ratings, risk adjustment models, and revenue cycle data, you will optimize analytics strategies to ensure efficient data quality, availability, and reliability for AI/ML-driven healthcare analytics solutions. Your responsibilities will include designing and maintaining data pipelines for the ingestion, transformation, and storage of claims, electronic health records (EHR), HL7/FHIR data, and real-world evidence (RWE) while ensuring compliance with HIPAA, PHI, and other regulatory requirements. Collaborating closely with data science and engineering teams, you will develop and maintain dashboards and reports that translate complex healthcare data into actionable insights for business stakeholders using visualization tools such as Streamlit, Snowflake, Power BI, or similar platforms. You will apply your expertise in healthcare cost, quality, and operational performance analytics to deliver meaningful insights and work closely with cross-functional teams, including data science, engineering, API development, and healthcare operations, to understand data needs and deliver tailored solutions. Additionally, you will engage with industry experts, attend relevant healthcare and data science conferences, and contribute to continuous learning within the team to enhance process understanding and ensure data accuracy for regulatory and business reporting. To excel in this role, you should have strong proficiency in SQL and Python, including libraries such as pandas for data manipulation and analysis. Experience with healthcare data visualization and storytelling tools, familiarity with ETL pipelines, data warehousing, and cloud platforms (AWS, Azure, GCP) for healthcare data processing, as well as knowledge of healthcare standards and regulations are essential. Experience in revenue cycle management (RCM), medical coding (ICD, CPT, DRG), and healthcare cost/utilization analytics is a plus, along with the ability to analyze complex healthcare datasets and derive meaningful insights impacting operational efficiency, patient outcomes, and cost optimization. Excellent communication and stakeholder management skills, with the ability to translate technical findings into business insights, are key to collaborating effectively with healthcare business teams, IT, and data science professionals. A curious mindset and willingness to explore new challenges and drive innovation in healthcare analytics are also important qualities for success in this role.,