Join Lyft's Driver Incentives team as a Data Scientist specializing in algorithms. You'll collaborate in a hybrid environment, tackling optimization challenges to enhance driver engagement and efficiency.

In this in-office Data Scientist role, you will work closely with product and engineering teams on incentive system design and optimization. Your expertise in mathematical programming, control theory, or operations research will help shape effective driver pay mechanisms. This position requires a hands-on approach and the ability to thrive in a energetic setting.

Key Responsibilities:
• Collaborate to design features for driver incentives
• Develop algorithms for budget allocation and incentive targeting
• Write production model code with software engineers




• Analyze marketplace data for insights
• Communicate results to technical and non-technical teams

Requirements:
• Advanced degree in a quantitative field (MS/PhD preferred)
• 2+ years of hands-on experience in optimization or machine learning
• Proficiency in Python for data analysis
• Experience with A/B testing methodologies
• Strong communication and collaboration skills

Drive impact with your optimization skills while shaping Lyft's driver incentives and marketplace efficiency.
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📌 Data Scientist for Driver Incentives (Ontario)
🏢 Lyft
📍 Ontario