Lead Data Scientist - Causal Inference
Core
Analyze customer support quality and operational data to diagnose issues, design metrics, and evaluate interventions to improve outcomes and drive automation strategy.
Role type
Senior IC data scientist (causal inference & product analytics)
Builds
Measurement frameworks, experimental designs, and automation roadmaps for customer support systems
Domain
Fintech / Customer Operations
Deliverable
production ML models | dashboards & analysis | research
Required skills
causal inference, statistical modeling, experimental design, SQL, Python, NLP, LLM-based techniques, product judgment
Preferred skills
customer-facing product experience, automation/AI impact evaluation, predictive modeling, cloud analytics tooling
Technologies
Python, SQL, AWS, NLP, LLMs
Responsibilities
Design metrics reflecting customer outcomes (resolution quality, effort, fairness); identify root causes using ML and statistics; quantify impact of proposed changes; design and analyze experiments; determine automation vs. human intervention strategies; shape long-term automation roadmap
Seniority
Senior, hands-on IC
