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 environment.

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 strong 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 applied

Requirements:
• 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 team-oriented and communication skills

Make a significant impact on driver experiences at Lyft through advanced algorithmic solutions and optimization strategies.
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📌 Optimization-Focused Data Scientist at Lyft (Ontario)
🏢 Triwill Group
📍 Ontario