Data Scientist

• Contribute to the development of customer segmentation models using clustering and unsupervised learning techniques to uncover behavioral cohorts and inform targeting.
• Build and refine forecasting models (e.g., ARIMA, Prophet, ML-based time series methods) to predict demand and engagement trends.
• Support efforts in modeling customer value over time (LTV) and assist in translating findings into practical strategies for acquiring and retaining customers.
• Develop churn prediction models to identify at-risk users and propose interventions in partnership with product and marketing teams.
• Create scalable, reusable ML workflows and data science artifacts that improve efficiency across the org.
• Partner with analysts and engineers to design and interpret experiments (A/B tests, cohort studies, causal inference).
• Present insights and model outcomes clearly to technical and non-technical audiences, bridging the gap between data and decision-making.

Senior Data Scientist

Data Scientist II, Enterprise Data Science, AI

Actuarial Data Scientist III

Data Science Intern