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 efficient 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 environment




• 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.
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📌 Data Scientist Driver Incentives at Lyft (Ontario)
🏢 Lyft
📍 Ontario