Senior Data Scientist - Public Healthcare Fraud Detection & Linked Data Analytics - Remote

Overview

This position is for a Senior Data Scientist focused on advanced analytics and AI/ML modeling for fraud detection in public healthcare programs.

In Short

• Lead design and deployment of AI/ML fraud detection models.
• Architect secure data pipelines for large-scale datasets.
• Apply record linkage techniques to ensure data quality.
• Research fraud taxonomies and statistical methods.
• Collaborate with stakeholders for analytical workflows.
• Maintain reproducible analytical outputs and documentation.
• Translate findings into actionable recommendations.
• Provide technical leadership and mentorship to teams.

Requirements

• Experience in data science and analytics.
• Proficiency in AI/ML modeling techniques.
• Strong understanding of fraud detection methodologies.
• Experience with data integration and pipelines.
• Ability to communicate complex data insights effectively.
• Experience in mentoring and leading teams.
• Knowledge of secure data practices.
• Strong analytical and problem-solving skills.

Benefits

• Flexible and collaborative work environment.
• Opportunity to impact public healthcare integrity.
• Part-time remote work option.
• Professional development opportunities.