Jobs at Lyft

As a Data Scientist at Lyft, you will analyze data to enhance products and decision-making in ride-sharing. This includes statistical modeling, designing experiments, partnering with teams, and proposing technical solutions to improve rider and driver experiences.

Lead and execute a full-funnel demand generation strategy for B2B segments, managing a team and collaborating to drive measurable pipeline impact.

The Data Engineer will manage data pipelines, ensure data quality, collaborate on data models, and optimize processing performance using SQL and Python.

The AI Business Solution Architect at Lyft bridges Finance teams and engineering, translating business needs into technical requirements, driving AI transformations, and optimizing financial systems.

Manage and mentor a growing team of engineers, prioritize projects, ensure high-quality deliverables, and foster an inclusive work environment.

As a Data Scientist on the Mapping team, you'll enhance route recommendations and travel time estimations by analyzing spatial data and building robust models to improve mapping products.

As a Software Engineer at Lyft Ads, you will develop backend systems for ad serving and manage large-scale data workflows, collaborating with cross-functional teams.

The Software Engineer will develop AI-powered tools and automation frameworks to improve quality, testing, and accessibility within mobile engineering, collaborating with senior engineers to enhance developer productivity.

The Senior Privacy Analyst at Lyft will conduct privacy risk assessments, develop privacy policies, and drive operational improvements while collaborating with cross-functional teams to ensure privacy compliance.

Conduct privacy risk assessments, build relationships with teams, analyze data flows, and develop privacy policies for Lyft's products and services.

As a Data Analyst in People Analytics at Lyft, you'll manage data requests, build ThoughtSpot dashboards, and enhance insights using AI capabilities. You'll collaborate with HR to craft metrics and translate findings into actionable insights for leadership.

The Program Manager leads enterprise technology initiatives, manages governance, coordinates cross-functional teams, and ensures alignment of program goals with business objectives.

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.

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

As a Senior Analyst, you will leverage data for Lyft's global expansion strategy, collaborating on product enhancements and growth opportunities, while analyzing impacts on users and markets.

As a Business Systems Engineer, you'll support Lyft's corporate systems, managing performance, implementing monitoring tools, and developing solutions for business stakeholders in financials and supply chain.

As a Data Analyst at Lyft, you will collaborate with teams to analyze data, streamline processes, and provide actionable insights to improve performance in bikeshare and scooter markets.

The Senior Software Engineer will design and develop AI-powered tools to automate quality assurance processes, improve developer workflows, and enhance testing efficiency, directly impacting developer productivity and satisfaction.

As Product Manager for Risk Tech - Claims at Lyft, you'll lead the strategy and execution for the claims process, integrating advanced technologies and collaborating with stakeholders to enhance the user experience.

As an Analytics Lead, you will drive data-driven decisions, develop insights, engage with stakeholders, and manage performance for autonomous vehicle operations.