Drive innovation at Lyft as a Data Scientist focusing on driver incentives and optimization. This hybrid position is crucial for developing data-driven solutions that enhance driver earnings and engagement. Collaborate with cross-functional teams to design productive incentive systems and model algorithms.

Ideal candidates will bring hands-on experience in optimization, machine learning, or causal inference. Your ability to analyze data and communicate insights will play a vital role in shaping Lyft's strategic decisions. Key Responsibilities:
Partner with engineering teams to enhance incentive mechanisms
Develop models for budget optimization and driver targeting
Write and deploy algorithms in a production setting
Conduct exploratory analysis on marketplace user data
Ensure experimental methodologies are robust and impactful Requirements:
Advanced degree (MS/PhD) in a quantitative discipline
2+ years hands-on optimization experience
Robust Python skills for data analysis and visualization
Experience with A/B testing setups and analysis
Excellent communication and team collaboration skills Utilize your expertise in optimization to influence Lyft's approach to driver incentives and marketplace strategies.

📌 Data Scientist Driver Incentives At Lyft Toronto
🏢 Lyft
📍 Toronto