Search the 47 jobs at Lyft

The Staff Software Engineer at Lyft will provide technical leadership, write maintainable code, perform code reviews, mentor developers, and collaborate cross-functionally. The role involves improving team components, architecting solutions, and participating in hiring activities.

The Data Analyst in Growth Strategy & Analytics at Lyft will lead management, experimentation, and strategy for key acquisition and lifecycle levers. Responsibilities include analyzing performance, developing dashboards, and translating insights into actionable plans while identifying opportunities and resolving data quality issues.

As a Data Engineer at Lyft, you will develop and manage core data pipelines, evolve data models, ensure data quality, and improve processing performance through SQL and Spark/Trino job tuning. You'll collaborate with cross-functional teams and take ownership of projects from design to implementation.

The Analytics Lead will develop analytical frameworks to understand market dynamics, influence business strategy, analyze trends, and communicate insights to senior leadership. The role demands strong analytical skills and the ability to manage large datasets to provide actionable business recommendations.

The Analytics Lead will manage Rider Engagement investment processes, partner with various teams to achieve business goals, leverage analytics to address critical business problems, and develop frameworks for data-informed strategies. Successful candidates will possess strong analytical and problem-solving skills, along with the ability to communicate effectively across teams.

The Data Science Intern will join Lyft's Data Science Team to develop mathematical models and algorithms for various services, collaborating with engineers and product managers. Responsibilities include exploratory data analysis, coding production models, and conducting experiments to inform decision-making.

As a Data Science Manager at Lyft, you will lead a team of Data Analysts, guide their professional development, and work on critical business decisions related to P&L management. You will utilize analytics and data science to drive investment strategies and present actionable insights to senior leadership and cross-functional teams.

As an Analytics Lead at Lyft, you will analyze marketplace trends, develop analytical frameworks, and provide recommendations to senior leadership. You will manage large datasets, craft compelling narratives, and influence business strategies through insightful analytics. This role requires strong analytical skills and effective communication to drive business impact in a fast-paced environment.

As a Data Analyst at Lyft, you will collaborate with various teams to enhance customer support experiences by designing frameworks, defining success metrics, conducting A/B tests, and delivering actionable insights based on data analyses. You'll also monitor KPI performance and report findings to senior leadership.

As a Senior Data Scientist at Lyft, you will develop machine learning models and algorithms for rider recommendations, analyze user behavior, and collaborate with cross-functional teams to enhance user experience and engagement. Responsibilities include driving a science roadmap, performing data analysis, conducting experiments, and advising best practices.

The Manager, Policy Development & Engagement at Lyft will oversee diverse policy projects, applying data analysis to inform public policy. This role involves strategic engagement with policymakers and unions, enhancing Lyft's leadership in the Future of Work, and crafting persuasive, data-driven communications for stakeholders.

As a Senior Product Manager at Lyft, you will lead the development of the Autonomous Vehicle (AV) platform, collaborating with cross-functional teams to define product vision, strategy, and execution that aligns with Lyft's mission. You will focus on user empathy, analyze data to inform decisions, and prioritize initiatives that enhance AV integration in the Lyft app.

Lead the Mobile Infrastructure Engineering team at Lyft, enhancing mobile networking, architecture, and UI frameworks. Mentor team members, support their professional development, and ensure high-quality, efficient project execution. Collaborate across teams to achieve business goals and promote a collaborative and inclusive working environment.

The Engineering Manager for Autonomous Vehicles at Lyft leads a team of backend and mobile engineers, guiding their professional development and overseeing technical direction. Responsibilities include setting product strategy, maintaining project quality, and fostering collaboration while delivering impactful engineering solutions and promoting continuous improvement.

As a Software Engineer for Driver Earnings at Lyft, you'll collaborate with cross-functional teams to improve driver experiences and develop infrastructure for earnings-related products. Your tasks will involve experiment design, data analysis, and efficient SQL querying on large datasets, contributing to innovation in rideshare driver incentives.

The Staff Privacy Analyst will conduct privacy risk assessments, analyze data flows, and provide privacy guidance in the ad tech space. This role involves working with cross-functional teams to ensure privacy is integrated into products, developing privacy policies, and enhancing privacy infrastructure across Lyft.

The Workplace Operations Lead ensures a delightful operational experience for Lyft employees by managing vendor relations, facility maintenance, and supporting team members. They coordinate with various stakeholders, handle information requests, and oversee onsite operational support while developing junior team members.

The Financial Analyst in Corporate FP&A at Lyft will focus on consolidated P&L reporting, quarterly earnings support, and corporate projects. Responsibilities include financial analysis, creating complex financial models, managing the forecasting process, and leading process improvements while ensuring data integrity. Strong communication and organizational skills are essential for collaborating with stakeholders.

As a Senior Data Scientist at Lyft, you will lead multiple projects aimed at improving customer care technology. Your role involves collaborating with cross-functional teams, designing and analyzing experiments, developing metrics, and ensuring data-driven decisions that enhance customer experience and operational efficiency.

The Workplace Investigator at Lyft is responsible for conducting thorough workplace investigations related to legal and policy violations, managing the process from start to finish. This role involves interviewing, documenting findings, collaborating with various teams, and providing analysis and recommendations based on state and federal employment laws, while ensuring confidentiality and professionalism.