Staff Data Scientist

Form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problems. Be able to autonomously and proactively identify business problems that could benefit from data solutions, whether it be application of existing models or the need for the development of new model(s), and take ideas through all phases, from proposal to alignment to execution. Establish best practices for training and development of data models; performance evaluation and monitoring; maintenance, etc. You will be responsible for ensuring reliable, observable deployment into Snowflake using DBT, integrating with existing data pipelines and platform infrastructure, and maintaining version control of code and configurations via Git. Evaluate model performance and iterate to improve accuracy and effectiveness. Develop and maintain data models in Snowflake to support analytical and reporting needs, providing insights to business stakeholders across various departments. Use Python to create ML models and structure the resulting data into a consumable flow.