Become an Optimization-Focused Data Scientist at Lyft, where you’ll enhance driver incentives through innovative algorithms. This hybrid position blends technical prowess with strategic insight in an energetic work setting.As part of the Driver Incentives team, your role will center on collaboration with product, engineering, and operations teams to drive improvements in pay systems. Your robust background in optimization or causal inference will help you solve mathematical challenges and develop effective payout mechanisms tailored to driver engagement and efficiency.Key Responsibilities:
Develop and refine incentive algorithms in collaboration with teams
Create optimization models for budget allocation and targeting




Write effective production code for algorithm deployment
Analyze marketplace data to inform feature launches
Ensure rigorous experimentation methodologies are appliedRequirements:
Masters or PhD in a quantitative discipline
2+ years hands-on experience in optimization or data science
Proficient in Python and related data tools
Experience designing and analyzing A/B tests
Excellent cooperative and communication skillsMake a significant impact on driver experiences at Lyft through advanced algorithmic solutions and optimization strategies.#J-18808-Ljbffr

📌 Optimization Focused Data Scientist At Lyft Toronto
🏢 Triwill Group
📍 Toronto