Senior Data Scientist - AI Platform
Core
Building an analytics foundation for AI-assisted decision-making and real-time monitoring within the Payments business, ensuring data quality and model integrity.
Role type
Senior IC data scientist (analytics & model validation)
Builds
Business observability platform for Payments
Domain
Financial services / Payments
Deliverable
production ML models | dashboards & analysis
Required skills
SQL (analytical functions, large tables), Python (pandas, NumPy, scikit-learn), time series analysis, forecasting, anomaly detection, data quality testing, validation frameworks, data reconciliation, visualization creation
Preferred skills
payments/transaction banking domain knowledge, semantic layers/metrics stores, columnar/OLAP databases (ClickHouse, Druid, BigQuery, Snowflake), model drift monitoring, LLM-assisted analytics, advanced visualization tools (D3, Plotly, Tableau)
Technologies
BigQuery, ClickHouse, Snowflake, Tableau, D3, Plotly, Python, SQL, pandas, NumPy, scikit-learn
Responsibilities
Perform exploratory and diagnostic analysis on large-scale transactional datasets to validate business logic and data quality; define acceptance criteria for analytical features and verify releases; design and run validation/back-testing for anomaly detection and forecasting models; build and operate model/data drift monitoring; investigate and triage analytical defects and reconciliation breaks; create data visualizations and analytical narratives for executive and operational audiences; partner with Technical Product Owner on requirements and prioritization
Seniority
Senior, hands-on IC
