Lyft
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As a Data Engineer at Lyft, you'll develop and maintain data pipelines that drive business decisions, ensuring data quality and scalability. You'll work closely with cross-functional teams to evolve data models, tune performance, and support self-service data management. Your role will significantly impact various aspects of the business operations.
As a Senior Software Engineer on the Data Trust team at Lyft, you will design, develop, and maintain platform offerings while improving data operations and ensuring data quality. You will work on large-scale infrastructure and collaborate with product teams to implement technical solutions, manage projects, and drive initiatives from design to execution.
The Data Analyst for Growth Strategy & Analytics at Lyft will manage experimentation, dashboarding, and strategy for key acquisition levers to drive business growth. Responsibilities include proposing and analyzing growth experiments, developing dashboards to monitor performance, and presenting insights to stakeholders.
As a Senior Data Scientist in Machine Learning at Lyft, you will develop mathematical models to enhance core services, optimize ride supply and demand, and collaborate with cross-functional teams to implement algorithms that improve user experiences for riders and drivers.
As a Data Scientist specializing in Algorithms at Lyft, you will develop mathematical models for optimizing rideshare supply and demand. Your role involves partnering with engineers and product managers, performing exploratory data analysis, and implementing algorithms in production. You'll also analyze data and communicate findings to facilitate decision-making.
As a Senior Data Scientist specializing in Algorithms at Lyft, you will develop mathematical models, enhance algorithms for rideshare supply-demand matching, perform data analysis, and collaborate with cross-functional teams to solve complex problems.
As a Staff Software Engineer at Lyft Media, you will guide architecture and design for the digital ads platform, improve business systems, write high-quality code, and collaborate across teams to execute projects in a fast-paced environment.