Data Scientist Senior Associate — Business Observability & AI Platform

What you'll do

• Analyze transactional data and verify business logic, metrics, and data quality; define acceptance criteria and validate releases.
• Back-test anomaly detection and forecasting, monitor model and data drift, and investigate analytical defects and unexpected outputs.
• Create visualizations and stakeholder narratives, and partner with product, engineering, and design on requirements and prioritization.

What they ask for

• Bachelor's degree in a quantitative discipline.
• 2+ years of applied data analysis or data science experience, or an advanced degree with relevant internship/project work.
• Strong SQL and proficiency in Python and analytics tools including pandas, NumPy, scikit-learn, and statsmodels or equivalent.
• Working knowledge of time series analysis, forecasting, anomaly detection, data quality testing, validation, and reconciliation.

Nice to have

• Experience with payments, transaction banking, or financial services data; familiarity with semantic layers, metrics stores, or dimensional modeling.
• Experience with production model evaluation and drift monitoring, LLM-assisted analytics, or visualization tools beyond notebooks.

Pay

USD 123,500.00-$170,000.00 base salary

Tools

SQL, Python, pandas, NumPy, scikit-learn, statsmodels, ClickHouse, Druid

AI focus

Supports AI-assisted decision-making through anomaly detection, forecasting, and conversational analytics; preferred experience includes LLM-assisted analytics, evaluating generated explanations, or prompt-based workflows.