Data Science Team Leader
Core
Strategic leadership for real-time courier incentive systems, dynamic pricing, and behavioral analytics to optimize supply quality and earnings fairness in a global food delivery marketplace.
Role type
Senior Team Lead for Data Science (Real-time ML & Economics)
Builds
Real-time courier pay systems, dynamic boost/surge mechanisms, and behavioral engagement models
Domain
Food delivery logistics, real-time economics, geospatial analysis
Deliverable
production ML models
Required skills
Team leadership and people management, hands-on ML model development and deployment, real-time system architecture, economic modeling, causal experimentation design, root-cause analysis of production models, geospatial analysis, deep learning concepts
Preferred skills
Experience in logistics or routing problems
Technologies
Geospatial data frameworks, real-time inference engines, experimentation platforms
Responsibilities
Lead and coach a team of 7–9 Data Scientists and ML Engineers; Own the data science strategy for real-time courier pay and incentive programs; Drive business outcomes for courier supply metrics; Diagnose structural supply issues and communicate findings to stakeholders; Design conceptual frameworks for real-time incentive engines; Oversee predictive models for supply-demand balancing; Ensure mathematical consistency and fairness in pay models; Partner with ML Engineers on production deployment; Lead large-scale marketplace experiments to measure incentive impact.
Seniority
Senior, hands-on IC with leadership responsibilities
