Master's degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related)
2+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment
Demonstrated experience translating business questions into data science problems and communicating findings to technical and non-technical audiences
Proficiency in Python and SQL, and experience with data visualization tools such as Tableau
Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform
Working knowledge of applied statistical methods and machine learning techniques (e.g., regression, classification, time series, cross-validation, model evaluation)
(Desirable) Doctoral degree in a STEM or quantitative field (statistics, computer science, mathematics, economics,...