Detail-obsessed Applied Data Scientist ensuring clean and reliable data. Collaborate with cross-functional teams to deliver data-driven solutions while managing the data quality process.
Responsibilities
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 to drive the data strategy
Create and maintain clear, authoritative 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
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