Data Scientist, AI/ML Model Quality
Core
Build and maintain intelligent systems, validation frameworks, and monitoring pipelines to ensure the integrity of data powering ML and GenAI models at scale.
Role type
Senior IC data scientist (ML/GenAI model quality)
Builds
Validation frameworks, observability metrics, telemetry analysis pipelines, and dashboards for ML/GenAI health
Domain
Financial services (Wallet, Payments, Commerce) + Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Statistical analysis, data drift detection, bias auditing, Python (Pandas, NumPy, Scikit-learn), SQL, distributed computing (PySpark, Spark), ML observability instrumentation, GenAI/LLM telemetry analysis
Preferred skills
Data visualization (Tableau, Superset), LLM evaluation frameworks (LangSmith), Bayesian/causal graph approaches, uncertainty quantification, ML monitoring platforms (MLflow, Weights & Biases), regulatory compliance (GDPR, DMA), fintech domain knowledge
