About the role
Lyft is seeking a Data Scientist to help advance Dynamic Pricing & Offer Selection by building end-to-end models that scale across the network. You will partner with product, engineering, and pricing teams to translate problems into mathematical formulations and experiments.
You will design and run experiments, analyze data, and communicate findings to leadership, with a hybrid in-office schedule in San Francisco and competitive compensation and benefits.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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