Join Lyft as a Data Scientist focusing on algorithms and optimization, where you will develop cutting-edge incentive systems. This hybrid role emphasizes collaboration to elevate driver engagement and operational efficiency.In this role, you’ll partner with various teams to design and improve incentive algorithms for drivers. Your expertise in optimization and causal inference will be crucial for building robust pay mechanisms and ensuring effective long-term strategy. The position requires a proactive mindset, ready to tackle unique data challenges.Key Responsibilities:
Design and implement algorithmic features for driver pay
Develop optimization models addressing complex budgeting crises
Write and deploy production-level model code




Execute data analysis to derive actionable insights
Engage with stakeholders to facilitate decision-makingRequirements:
Advanced degree in Operations Research or Statistics
Minimum 2 years experience in optimization or machine learning
Expertise in data analysis and visualization
Robust programming skills in Python
Proven ability to communicate effectively with teamsHarness your algorithmic skills to redefine driver incentives at Lyft and impact marketplace dynamics.#J-18808-Ljbffr

📌 Lyft Data Scientist: Algorithms & Optimization Toronto (Canada)
🏢 Triwill Group
📍 Canada