Search the 108 jobs at Lyft

The role involves developing a comprehensive test automation strategy, collaborating with product teams, designing test automation plans, and improving existing automation frameworks for mobile and API applications. The engineer will participate in manual and automated testing, report bugs, and maintain test stability while ensuring timely releases.

As a Data Scientist on the Rider team at Lyft, you will apply analytics and modeling techniques to influence key business decisions. Responsibilities include shaping product vision, designing A/B experiments, collaborating with cross-functional teams, and providing technical guidance to junior members. You'll drive strategic initiatives and present data-driven insights to stakeholders.

As a Staff Data Scientist in the Rider Segment at Lyft, you will utilize analytical skills to influence business decisions, optimize rider experiences, and develop data-driven products. Responsibilities include roadmap driving, partnership with product and engineering teams, applying advanced analytics, and mentoring junior members.

The Senior UX Researcher at Lyft will design and conduct user research studies, analyze and communicate insights to guide product development, collaborate with cross-functional teams, and maintain a research roadmap prioritized by user needs. This role emphasizes the integration of qualitative insights with quantitative data to enhance user experience and drive strategic recommendations across the organization.

As a User Experience Researcher at Lyft, you will conduct research studies to gather insights about user behaviors and attitudes, collaborate with cross-functional teams, and communicate findings to drive product innovation and improvements.

As a Product Designer at Lyft, you will design user-centered experiences for partnerships, creating mobile-first solutions and interactive prototypes. You will work with cross-functional teams to enhance Lyft's offerings, focusing on Rider needs and developing innovative integrations with partner brands.

The Head of Mapping at Lyft will create and execute a product vision and strategy for the Mapping team, guiding innovation in mapping products and improving user experience. This role involves cross-functional collaboration, managing a team, and influencing company priorities at the executive level.

The Data Analyst will support Lyft’s Strategic Planning and P&L Management team by leveraging analytics to analyze business problems, working on investment strategies, data manipulation, business metrics reporting, and presenting findings to senior leadership. This role involves collaboration across various functions including Product, Engineering, Finance, and Operations.

As a Senior Software Engineer at Lyft, you will work on the Matching team, enhancing driver dispatch efficiency and fulfilling rider requests. Your role includes collaborating with engineers and cross-functional teams, designing fault-tolerant systems, and working with cloud platforms and CI tools.

As a Software Engineer at Lyft, you will work on the Matching team, focusing on improving driver dispatch systems and implementing algorithmic solutions. You will collaborate with cross-functional teams to execute large projects and solve challenging technical problems in a fast-paced environment.

As a Fullstack Engineer at Lyft, you will design and develop innovative web applications aimed at enhancing the user experience for drivers and riders. You will lead projects, collaborate with various teams, ensure code quality, and contribute to the Growth Platforms team by improving messaging and incentive systems.

The Data Scientist will work on the Rider Pricing team, focusing on developing analyses, metrics, and models for pricing strategies and rider incentives. The role requires collaboration with various teams and advanced skills in causal inference, optimization, and reinforcement learning.

As a Senior Data Engineer on the Growth team at Lyft, you will own the data architecture and pipelines that support growth campaigns. Responsibilities include evolving data models, coordinating with partners, improving data quality, and conducting performance tuning for SQL and MapReduce jobs.

As an iOS Engineer at Lyft, you will enhance the rideshare experience by designing and implementing features for the Rider app, collaborating across teams, and ensuring code quality through tests and reviews. Responsibilities also include debugging and improving internal processes.

As an iOS Engineer at Lyft, you will develop applications that enhance user experiences with mapping features, ensuring high-quality code and effective collaboration with various teams. Responsibilities include keeping up-to-date with iOS development and solving real-time data problems, all while contributing to large scale applications.

The Engineering Manager for Rider Quality at Lyft will build and lead a new team of Test Automation and Machine Learning engineers, driving quality standards for the Lyft app. Responsibilities include setting technical vision, coaching team members, and collaborating with cross-functional partners to ensure project completion.

As a Senior Data Engineer at Lyft, you will build and scale data infrastructure, evolve data models, improve data processing performance, and ensure data quality. You will collaborate with cross-functional teams to support data-driven decision-making and enhance mapping's data pipelines.

As a Data Scientist on Lyft's Verticals team, you will utilize data analytics to enhance rider and driver experiences in critical markets. Responsibilities include identifying growth opportunities, developing machine learning models, designing experiments, and collaborating with cross-functional teams to translate insights into actionable product enhancements.

The Staff Data Scientist will collaborate with the Lyft Media team to frame digital ad problems, develop and implement machine learning algorithms, analyze data, and communicate findings to drive business decisions. Responsibilities include exploratory data analysis, experimentation, and model development.

The Analytics Lead will develop analytical frameworks, influence business strategy through insights, evaluate marketplace trends, and communicate findings to senior leadership. Responsible for high visibility projects in a fast-paced environment, the role requires expertise in data analysis and decision-making.