- Drive the long-term statistical modeling and machine learning vision of the company.
- Conduct exploratory data analysis (EDA) prior to model development.
- Perform feasibility assessments (POCs) for proposed ML solutions.
- Monitor and diagnose model performance issues, including drift and degradation.
- Research and evaluate additional use cases for existing models.
- Conduct analysis to develop and improve product recommendation and user classification systems.
- Design, prototype, and implement models across several domains.
- Work with product and marketing managers, analysts, and engineers to turn insights into automated services.