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About
Participate in the full modeling lifecycle, including statistical analysis and machine learning model development Prepare, clean, and transform raw data into high-quality features for modeling Investigate data discrepancies and design automated frameworks to ensure data accuracy
Required Qualifications
Bachelor's degree (PhD preferred) in a quantitative field such as Statistics, Physics, or Mathematics Strong proficiency in Python (Pandas/NumPy) and SQL for data manipulation Hands-on experience with data cleaning techniques and validation frameworks Familiarity with data visualization tools to identify and communicate data issues
Languages
- English
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