Most Loved Workplace® Certified JobData Science, Metrics
Assessed by Most Loved Workplace®About the Role
At Lyft, a Most Loved Workplace® certified employer in the Transportation space, Connecting cities, one ride at a time, for a more equitable future..
<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>Data and analytics are at the heart of Lyft's products and decision-making. The Metrics team sits in the Central Market Management organization and owns the business metrics that leaders use to run the marketplace. We define these metrics, build and manage the tools and dashboards that make them reliable and easy to access, and drive consistent, standardized definitions across the organization.</p>
<p>We are looking for a Data Scientist to join the Metrics team and help shape Lyft's products and decision-making. You will own a domain within the team's surface area, building and maintaining the data and metrics that leaders and partner teams rely on, with significant executive exposure along the way. We want an intellectually curious person with strong attention to detail, a track record of analytical problem-solving, and skilled communication.</p>
<p>You will report to a Data Science Manager.</p>
<h2>Responsibilities</h2>
<ul>
<li>Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on</li>
<li>Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data</li>
<li>Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly</li>
<li>Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them</li>
<li>Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions</li>
<li>Partner with product managers, engineers, and operators to translate the data into decisions and
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