Senior Associate Data Scientist, Business Observability & AI Platform

What you'll do

• Perform exploratory and diagnostic analysis on large-scale transactional datasets to validate business logic and data quality.
• Define and document acceptance criteria for analytical features, metrics, and model behaviors before production release.
• Design and execute validation and back-testing for anomaly detection and forecasting models.
• Build and operate monitoring systems to detect and manage model and data drift in production.
• Investigate and triage analytical defects, reconciliation breaks, and unexpected model outputs with technical teams.
• Create data visualizations and narratives to communicate complex findings to executive and operational audiences.
• Partner with product owners to refine requirements and prioritize features based on evidence from the data.

What we're looking for

• Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Engineering, or similar.
• 2+ years of applied data analysis or data science experience, or an advanced degree with relevant internship/project work.
• Strong SQL skills including analytical functions and performance-aware querying against large tables.
• Proficiency in Python and the standard analytics stack including pandas, NumPy, scikit-learn, and statsmodels.
• Working knowledge of time series analysis, forecasting methods, and anomaly detection techniques.
• Practical experience with data quality testing, validation frameworks, and reconciliation.
• Ability to build decision-ready visualizations and communicate findings to non-technical stakeholders.
• Experience with payments, financial services, semantic layers, or OLAP databases (preferred).