Data Scientist, Algorithms - Dynamic Pricing
Core
Build end-to-end dynamic pricing models using real-time and historical data to set ride prices, balancing prices and ETAs to serve riders and drivers.
Role type
Senior IC data scientist (algorithms & optimization)
Builds
Production dynamic pricing models and experiments for Lyft's Marketplace
Domain
Ride-hailing / Transportation network companies
Deliverable
production ML models
Required skills
Machine Learning, Statistics, Optimization, Python, SQL, Data Analysis, Experimental Design, Causal Inference, Econometrics
Preferred skills
LTV modeling, User choice modeling
Technologies
Python, SQL
Responsibilities
Formalize pricing problems mathematically; Develop and fit statistical/ML/optimization models; Write production code and collaborate with engineers; Design and implement simulated and live experiments; Analyze experimental data to facilitate launch decisions; Communicate findings to product, engineering, and leadership.
Seniority
Mid-Senior, hands-on IC
