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The analyst will identify opportunities in Lyft's top regions, influencing strategies and improving marketplace performance through data analysis and collaboration with teams.

Design and iterate user experiences for micromobility operations across web and mobile. Lead product design from concept to launch, produce wireframes, mockups, prototypes, conduct user research, and collaborate cross-functionally with product, engineering, and marketing to deliver reliable operator and rider experiences.

Design end-to-end features for Lyft’s micromobility operations platform used by warehouse and field teams. Own interaction and visual design from research and ideation through prototyping and launch, collaborating closely with product, engineering, and cross-functional partners to create efficient, delightful web and mobile experiences.

Design, build, and maintain privacy-focused systems and data pipelines; lead large projects; consult cross-functional teams on privacy-by-design; write high-quality code and documentation; develop controls, testing, remediation, and mentor engineers.

Build and integrate autonomous-vehicle software features, design system architecture, write well-tested maintainable code, participate in code reviews, produce clear design documentation, lead large projects, and collaborate with cross-functional partners to deliver reliable production systems.

Lead a Rider vertical engineering team to deliver 0-to-1 and iterative consumer-facing products. Drive execution, define roadmaps, manage dependencies and risks, ensure observability and reliability, guide architecture and tech debt, maintain team health and career development, and collaborate cross-functionally with product, design, data, and operations.

Lead design and implementation of AI-driven data analytics platforms and pipelines for Lyft's Marketplace. Define architecture and roadmap, build backend microservices and APIs, drive AI innovation (agentic workflows, model evaluation, causal models, anomaly detection), collaborate with product and data teams, resolve incidents, and mentor engineers to improve business operations and metrics governance.

Design, train, and deploy time-series forecasting and real-time ML models to generate marketplace supply and demand signals. Collaborate with engineers, PMs, and business partners to frame problems, perform exploratory data analysis, implement production model code, run backtests and live experiments, monitor model health, and scale tooling to improve marketplace efficiency.

Support Lyft's corporate systems in Oracle Procurement and Accounts Payables. Responsibilities include configuration, automation, incident management, and data reporting, alongside managing STP processes and stakeholder communication.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Define problems with stakeholders, build statistical pipelines and production models, design and analyze experiments, deploy solutions, and support automated campaigns via science on-call rotation to drive Growth outcomes.