Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- 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
Benefits
- Health, dental, and vision coverage
- Paid time off
- Paid parental leave
- 401(K) plan with employer matching
- Wellness benefits
- Equity opportunities
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