Data Scientist

Summary

Join Abarca, a healthcare revolutionizing company, as a Data Scientist. You will leverage your coding skills (Python, R, SQL) to transform big data into actionable insights and customized solutions for clients. This role blends strategic collaboration, advanced data analysis, and tool development. You will work with leadership and cross-functional teams to create innovative tools and reports. The position requires expertise in predictive modeling, data visualization, and communication of complex data to diverse audiences. A flexible hybrid work model is offered, with some on-site workdays required in Puerto Rico.

Requirements

• Bachelor’s degree in data science, Computer Science, Statistics, Healthcare Administration, or a related field (Master’s or Ph.D. preferred; equivalent relevant experience may be considered)
• 8+ years of experience in healthcare data analytics, with a strong background in working with large healthcare datasets (e.g., medical and pharmacy claims)
• 2+ years of experience in roles involving medical or pharmacy data in a health plan or pharmacy benefit management (PBM) setting
• Demonstrated expertise in Python, R, SQL, and advanced statistical methods, with proficiency in cloud-based data analysis platforms
• Proven track record in developing predictive models and data-driven tools that support strategic decision-making
• Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly to diverse audiences
• Experience with data visualization tools such as Tableau or PowerBI
• Strong problem-solving skills and a passion for innovation in healthcare analytics

Responsibilities

• Assist DVS leadership in defining and executing analytics strategies that align with business objectives
• Collaborate with clinical, IT, and operations teams to ensure analytical solutions meet client needs
• Act as a subject matter expert by contributing technical insights and best practices to team projects
• Design, develop, and implement advanced predictive models using large, complex datasets from sources such as medical and pharmacy claims and EMR systems
• Utilize programming languages (Python, R, SQL) and cloud-based data platforms (e.g., Snowflake) to extract insights and drive decision-making
• Evaluate model performance and continuously refine methodologies to improve forecast accuracy and operational efficiency
• Develop innovative analytical tools and advanced custom reports that support healthplan clients in areas such as specialty pharmacy spend, cost-saving initiatives, and drug forecasting
• Create dynamic visualizations (using tools like Tableau or PowerBI or any others) to communicate complex data insights clearly to both technical and non-technical stakeholders
• Support the development and management of new programs, including metric tracking, ROI analysis, and process improvements
• Contribute to multiple advanced analytics projects, ensuring timely delivery and alignment with strategic objectives
• Assist in the generation of client-facing tools that enhance feasibility analysis, contextual understanding, and budget forecasting
• Stay updated on industry trends and emerging technologies, integrating innovative approaches into project work

Preferred Qualifications

Master’s or Ph.D. preferred; equivalent relevant experience may be considered

Benefits

We are proud to offer a flexible hybrid work model which will require certain on-site workdays (Puerto Rico Location Only)