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As a Staff Data Scientist at Lyft Media, you will be responsible for implementing machine learning algorithms for digital advertising, conducting exploratory data analysis, developing statistical models, and collaborating with software engineers for production implementations. Your work will directly impact advertising strategies within the Lyft platform.
As an Analytics Lead, you will develop analytical frameworks to understand market dynamics, influence business strategies, analyze product trends, and provide insights to senior leadership. You will manage projects in a fast-paced environment, become an expert in marketplace trends, and support reporting for leadership.
As a Staff Software Engineer at Lyft Media, you will lead the design and architecture of digital ad platforms, collaborating with cross-functional teams to enhance advertising systems and improve overall business performance. Your role includes defining technical roadmaps, building scalable systems, participating in code reviews, and sharing knowledge through tech talks.
The Senior Manager for Policy Development & Research at Lyft will manage diverse policy projects, apply quantitative and qualitative methods to public policy design, and provide strategic advice on engaging with policymakers and labor unions. This role involves leading negotiations, analyzing complex data for persuasive arguments, and building thought leadership in the Future of Work.
The Federal Public Policy Manager at Lyft will develop and advocate for policies to support rideshare and micro mobility, engage with federal legislators, and inform company leadership on relevant regulatory developments, while managing external federal consultants and building relationships with stakeholders.
The Operations Specialist at Lyft will support the General Manager of BIKETOWN by executing operational plans, ensuring service quality, and performing data analysis to improve the operational performance of the bike share system. Responsibilities include managing daily operations, contractor relationships, invoicing, and deep-dive analysis for root cause identification of issues.
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