Requirements

• 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,...