Data Scientist, Algorithms - Pricing - Rider Engagement
Core
Develop and deploy optimization and machine learning models for incentive offers, budget management, and real-time optimization to drive rider engagement and marketplace outcomes.
Role type
Senior IC data scientist (optimization/ML)
Builds
Incentive levers, budget management systems, and real-time optimization solutions
Domain
Ride-hailing marketplace, pricing theory, operations research
Deliverable
production ML models
Required skills
Python, optimization modeling, machine learning, statistical modeling, experimental design, data analysis, production coding
Preferred skills
Pricing theory, operations research, unstructured mathematical problem solving
Responsibilities
Frame problems mathematically and within business context; write production code and collaborate with engineers to implement algorithms; develop and fit statistical/ML/optimization models; design and analyze experiments; establish metrics to monitor product health and user outcomes; perform deep dive analysis to uncover opportunities; communicate findings to cross-functional teams and leadership.
Seniority
Mid-level, hands-on IC
