Data Scientist(Financial Domain)
Core
Develop, validate, and communicate statistical and machine learning models to inform product decisions in consumer lending, focusing on rigor versus speed and using AI tools for analysis.
Role type
Senior IC data scientist (financial domain)
Builds
Consumer lending products, credit/risk models, pricing strategies, and marketing decisioning systems
Domain
Fintech, consumer lending, home improvement/contractor financing
Deliverable
production ML models | product features
Required skills
Statistics and experimentation (hypothesis testing, causal inference, experiment design), SQL, Python or R, data engineering fundamentals (pipelines, transformations, data modeling), AI tool usage, problem structuring, stakeholder communication
Preferred skills
Fintech or consumer lending background, CDP/platform experience (Segment, mParticle, Amplitude), credit/risk modeling, dbt or Airflow, agile/scrum environment experience
Technologies
SQL, Python, R, Segment, mParticle, Amplitude, dbt, Airflow
Responsibilities
Design and validate statistical models and experiments for product decisions, use AI tools for exploratory analysis and documentation, partner with engineers on data pipelines, communicate tradeoffs to stakeholders, structure ambiguous problems to land on actionable recommendations
Seniority
Senior, hands-on IC
