Data Scientist

Synergy Global Technologies - Jersey City, NJ

Full-time - Mid Level

Jersey City, NJ

Professional, Scientific, and Technical Services

About the position

The Data Scientist role at EXL Analytics involves analyzing complex healthcare data to improve healthcare outcomes and efficiency. The position requires expertise in HEDIS and Medicare STAR ratings, with a focus on developing predictive models and providing actionable insights. The ideal candidate will collaborate with clinical and quality teams to enhance data accuracy and effectiveness, while also communicating findings to non-technical stakeholders.

Responsibilities

• Analyze large and complex healthcare datasets to identify trends, patterns, and insights.
• Develop predictive models and algorithms to forecast healthcare outcomes, patient risks, and quality measures.
• Conduct advanced statistical analysis to support healthcare quality improvement initiatives.
• Lead the development and implementation of analytics solutions related to HEDIS and STARS measures.
• Collaborate with clinical and quality teams to enhance the accuracy and effectiveness of HEDIS measures.
• Provide strategic insights and recommendations to improve STARS ratings based on data analysis.
• Integrate and manage diverse healthcare data sources, including claims, electronic health records (EHR), and patient surveys.
• Ensure data integrity, quality, and accuracy in all analytics projects.
• Work closely with cross-functional teams, including clinical, IT, and operations, to align data science efforts with organizational goals.
• Communicate complex analytical findings to non-technical stakeholders through clear and concise reports, visualizations, and presentations.

Requirements

• Strong experience on analysis of Medicare claims based on ICD Codes, Risk factors and Medical Adherence, Proc Codes, LOINC Codes and others.
• 5-7 years of experience on Python, SQL and Tableau.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platform GCP.
• Experience with DevOps practice, CI/CD pipelines.
• Experience in designing, developing, and deploying advanced predictive models, machine learning algorithms, and statistical analyses to solve complex healthcare problems.

Nice-to-haves

• Prior experience on Medicare STARS, Health Equity, and Clinical Data preferred.
• Excellent verbal and written communication skills, with the ability to convey complex information to diverse audiences.

Benefits

• Opportunity to work closely with experienced analytics consultants.
• Training in all aspects of analytics and leading analytical tools and techniques.
• Mentoring program with guidance from senior level professionals.
• Opportunities for personal and professional growth.