Tech Stack

Description

You will develop mathematical models for core discounting systems and address diverse problems across optimization, prediction, machine learning, and inference. You'll collaborate with cross-functional teams to enhance algorithms, build and scale rider engagement products, and drive business growth.

Requirements

• M.S. or Ph.D. in ML, Statistics, Operations Research, CS, Math or other quantitative fields
• 2+ years professional experience in a technology company
• Proven experience building and evaluating ML models
• Proficiency with Python and production coding environment
• End-to-end experience with data (querying, aggregation, analysis, visualization)

Responsibilities

• Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
• Prioritize and lead deep dives into data to uncover new product and business opportunities
• Collaborate with Software Engineers to implement algorithms and models in production
• Design, implement, and analyse experiments to drive data-driven decision making
• Establish metrics to measure product health and rider/driver experience