Data Scientist

• Partner closely with Marketing, Product, and Engineering teams to develop data science solutions
• Develop and refine customer segmentation models using unsupervised learning techniques
• Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends
• Define and exemplify the value of customers over time (LTV) and develop strategies to improve it
• Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies
• Create reusable machine learning pipelines and data artifacts that scale across the organization
• Collaborate on experiment design and interpret results, including A/B testing and cohort analyses
• Share complex modeling outcomes and insights with both technical and non-technical collaborators

Principal Data Scientist

Data Science & Analytics Director

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Data Scientist, Agentic AI – Insurance Underwriting