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.

📌 Data Scientist Driver Incentives at Lyft (Winnipeg)
🏢 Lyft
📍 Winnipeg