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Data Science, Metrics

Lyft Australia
Toronto, Canada Full Time Negotiable Sep 17, 2026

About the Job

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.

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...

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 in...

Key Responsibilities

Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on
Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data
Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly
Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them
Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions
Partner with product managers, engineers, and operators to translate the data into decisions and action
Communicate findings to stakeholders in a clear and concise manner
Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relevant work experience
3+ years of industry experience in a data science or analytics role
Proficiency in SQL, with the ability to write structured and efficient queries on large datasets
Programming experience, especially with data science and visualization libraries in Python or R
Strong oral and written communication skills, and the ability to collaborate with and influence cross-functional partners

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