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The Senior Data Scientist will develop optimization models, manage the model lifecycle, and collaborate across teams to enhance Lyft's marketplace efficiency and strategy.
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Build and own backend systems for Lyft Growth Platforms (Incentives & Messaging). Design architecture, lead multi-person projects from concept to production, write well-tested code, collaborate with product, design, and data teams, operate distributed, scalable services using Python/Go/AWS/AI/NoSQL, participate in on-call incident response, and mentor peers to promote engineering best practices.
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The Firmware Test Engineer designs and executes test plans for micromobility hardware, collaborating with teams to ensure quality and reliability of firmware. They manage deployments and contribute to NPI and fleet sustainability initiatives.
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Lead and execute risk-based internal audits across technology and business domains, perform risk assessments, support ERM, collaborate with stakeholders, drive remediation, and champion data analytics, automation, and continuous improvement.
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Lead and execute risk-based internal audits across technology and business domains, perform risk assessments, recommend control improvements, support ERM, manage co-sourced partners, and drive audit automation and continuous improvement.
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As a Senior Data Scientist, you'll solve optimization problems, build and productionize machine learning models, and drive data-driven strategies to enhance Lyft's marketplace efficiency.
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Design, build, and own backend systems for Lyft Growth Platforms (Incentives & Messaging). Lead multi-person projects from concept to production, write high-quality code, participate in on-call rotations, collaborate with cross-functional teams, and mentor peers while improving platform reliability, scalability, and developer workflows.
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Own and optimize Lyft's tax determination and e-invoicing systems (Vertex, Oracle Fusion integrations). Configure tax rules, manage international VAT/GST requirements, design integrations, troubleshoot calculations, ensure SOX audit readiness, and support stakeholders across Tax, Finance, Legal, and Engineering.
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The Senior Software Engineer at Lyft will architect solutions, write maintainable code, lead projects, and collaborate across teams to resolve technical challenges, focusing on enhancing the rideshare experience.
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Lead and mentor a data science team to enhance the Rider App experience through machine learning, analytics, and experimentation. Partner with stakeholders to drive data-driven decisions and innovation.
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Own the systems and technical roadmap for Lyft Ads and Lyft Business, acting as business-side product owner for billing, quote-to-cash, and RevOps tooling. Manage billing operations teams, prioritize cross-LOB work, partner with CRM Engineering, Finance, and Legal, and drive integrations, access governance, and M&A/new-market system integrations.
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Lead Rider decisions initiatives using modeling, experimentation, causal inference, and advanced analytics. Partner cross-functionally to define product roadmap, design zero-to-one solutions, measure impact, provide technical mentorship, and communicate data-driven recommendations to senior stakeholders.
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Lead data-driven product and business decisions for Rider teams by designing experiments, applying modeling, causal inference and advanced analytics, partnering with cross-functional teams, defining roadmaps, mentoring junior data scientists, and driving alignment across orgs to deliver end-to-end products.
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The Associate Counsel will handle corporate, transactional, and securities matters, providing strategic legal advice, managing complex transactions, and improving legal processes in a fast-paced environment.
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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.
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Lead cross-functional loyalty product initiatives from ideation through launch and post-launch. Drive program planning, dependency management, KPI ownership, risk mitigation, and stakeholder communications. Partner with engineering, product, data science, design, analytics, and operations to deliver iterative features that increase rider retention and lifetime value, including regulatory and compliance-driven efforts.
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Review safety incidents and deactivation decisions to protect Lyft riders and drivers. Investigate cases, apply deactivation policies, document findings, communicate empathetically, and resolve escalations while meeting SLAs and quality metrics.
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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.
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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.
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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.
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