Principal Data Scientist (US)
Core
Own end-to-end decisioning and pricing optimization engines using large-scale historical and market data to form hypotheses, conduct analyses, develop machine learning models, and drive business decisions.
Role type
Principal Data Scientist (pricing optimization & decisioning)
Builds
End-to-end decisioning and pricing optimization engines
Domain
Banking / Auto Finance / Machine Learning
Deliverable
production ML models
Required skills
Statistical inference, data wrangling, data profiling, visualization, hypothesis formation, large-scale data analysis, machine learning model development, business P&L analysis, Python programming, advanced analytics
Preferred skills
Graduate degree in math, physics, engineering, finance, or computer science, 10+ years of relevant experience, research tenure
Technologies
Python
Responsibilities
Collect and analyze large-scale data to uncover actionable insights; develop and implement machine learning models for pricing optimization; collaborate with business partners to refine strategies and deliver P&L expectations; provide technical leadership and strategic guidance to executive audiences; mentor and oversee other data science professionals on complex, high-profile projects.
Seniority
Principal, hands-on IC with strategic leadership