Knowledge of statistics and machine learning concepts including experimental design, hypothesis testing, regression, classification, and clustering Problem solver who loves to dig into different kinds of data and can communicate their findings to stakeholders in different departments   Bonus Ingredients:  Experience building and deploying progressively complex and scalable machine learning models in production environments Exposure to coding best practices and tools including object-oriented programming, test-driven development, git, task orchestration (Airflow, Kubeflow, etc