Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models
Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling
Investigate data discrepancies and design automated frameworks to ensure data accuracy
Act as a strategic liaison, collaborating with data Engineering and product teams
Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions

Bachelor’s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)
Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation
Hands-on experience with data cleaning techniques and data validation frameworks
Familiarity with data visualization tools to help identify and communicate data issues

Associate Applied Data Scientist

Key skills