Lead the growth data science area to boost user growth, develop attribution models, inform customer acquisition strategies, analyze marketing campaign efficiency, create frameworks for marketing experimentation, build automated reporting, and lead/mentor junior data scientists.

Creating an automatic system for credit underwriting decisions, developing and improving credit risk models, conducting loss sensitivity analysis, building analytical dashboards, and mentoring junior data scientists.

Lead Data Engineer responsible for building data engineering function, designing data models, building scalable infrastructure, establishing data quality processes, and mentoring junior data engineers. Must have 5+ years of hands-on data engineering experience, expertise in SQL and data engineering tools, and experience with data orchestration tools like Airflow. Strong communication skills and ability to work with key stakeholders required.