The Data Scientist II will be responsible for building production-ready machine learning solutions by assessing business problems, developing exploratory data analysis approaches, and preparing and deploying trained models into production environments. This role involves collaborating with stakeholders, engineers, and auditors to deliver end-to-end value-based solutions, including data pipelines and model application for end-user consumption.

The Principal Mitigation Scientist will lead the design and development of the Mercury Mitigation Modeling framework for California Wildfire, linking hazard outputs to mitigation configurations and business decisions. This role involves leading community-scale fire pathway analysis and partnering with scientists to translate research into actionable inputs for risk models and business strategies.

Staff Data Scientist building ML systems for insurance claims processing

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.