Elevate your career as a Data Scientist at Lyft, focusing on algorithm development for driver incentives. This hybrid role offers hands-on challenges that directly impact driver engagement.
As part of Lyft’s Driver Incentives Science team, you'll utilize your expertise in optimization, causal inference, or machine learning to influence pay structures positively. This role requires close collaboration with engineering and product teams to implement and refine algorithms that enhance driver experiences in a rapid-paced environment.
Key Responsibilities:
• Design and iterate new features for incentive systems
• Implement optimization models for cost-curve development
• Collaborate on production code implementation
• Conduct exploratory data analysis to inform decisions
• Ensure robust experimentation methods for measuring impact
Requirements:
• Advanced quantitative degree with emphasis on operations research or math
• Minimum 2 years of experience in optimization or related areas
• Proficient in Python for data manipulation and analysis
• Familiarity with A/B testing design and analysis
• Excellent team collaboration and communication abilities
Harness your algorithmic skills to shape Lyft's approach to driver incentives and optimize marketplace performance.
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📌 Lyft Data Scientist - Algorithms Focus (Ontario)
🏢 Lyft
📍 Ontario