Key skills
NumpyPandasPythonSQLMachine LearningNumPyData EngineeringStatistical Analysis
About this role
Role Overview
- Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges
- 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 to drive the data strategy and definition of our centralized feature store
- Create and maintain clear documentation for data sources, cleaning processes, and variable definitions
Requirements
- 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
Tech Stack
- Numpy
- Pandas
- Python
- SQL
Benefits
- health insurance
- dental insurance
- vision insurance
- paid time off
- paid parental leave
- 401(K) plan with employer matching
- wellness benefits
- equity opportunities