Staff Data Scientist, Decisions - Partnership, Loyalty & Pay

Responsibilities:

• Drive the data science roadmap across the Partnership, Loyalty, and Pay teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address
• Partner with org leads in product, engineering, UX research, design, marketing, and business development to initiate, design, develop, and scale zero-to-one programs and drive business strategy through data-centric recommendations
• Define and maintain key objectives and metrics to align with the overarching goals of Rider, Marketplace, and Lyft - including incrementality measurement for partnerships, retention impact of loyalty programs, and health of Pay products
• Apply modeling, advanced analytics, experimentation, and causal inference techniques (e.g., A/B testing, difference-in-differences, synthetic control, quasi-experimental methods) to drive decision-making at Lyft
• Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations to VP and C-level stakeholders
• Advise teams on best practices. Be a thought leader and go-to expert on measurement, incrementality, and causal inference for PLP stakeholders and dependency teams
• Provide technical guidance and mentorship to junior and mid-level team members on solution design and implementation; lead code reviews and elevate team-wide technical standards

Experience:

• Degree in a quantitative field (e.g., Stats, Econ, Math, CS) at the Master's or PhD level, or equivalent professional expertise in high-impact environments
• 6+ years of professional experience in data science, with a history of implementing causal models that result in tangible business value
• Subject matter expertise in the realms of causal inference, machine learning, and experimental design
• Sharp product sense and practical experience utilizing various causal methodologies
• Technical mastery of Python and SQL for data analysis and modeling
• Experience crafting sophisticated measurement frameworks, including counterfactual analysis and advanced experimentation to determine true incrementality
• Capability to unite cross-org partners, influence technical systems, and challenge existing scientific premises to steer product vision
• Strong communication skills to explain complex scientific results and the balance between velocity and rigor to executives and peers
• Proven track record of managing ambiguous problem spaces and converting broad business needs into structured scientific roadmaps
• Dedication to mentoring fellow scientists, raising the bar for technical excellence, and setting standards for modeling and reasoning

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership