Data Scientist
Algorithms-Experimentation
Updated on 3/21/2024
Lyft

10,001+ employees

Ridesharing app
Company Overview
Lyft's mission is to improve people's lives with the world's best transportation. The company operates a mobile platform for the ridesharing of cars, bikes, and scooters and serves over a million rides per day.

Company Stage

N/A

Total Funding

$4.8B

Founded

2012

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

2%

1 year growth

4%

2 year growth

3%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
CategoriesNew
Data Science
Data & Analytics
Requirements
  • Advanced degree in a quantitative field like statistics, economics, computer science, operations research, or engineering; or relevant work experience
  • 4+ years of hands-on industry experience in causal inference or data science
  • Track record of using statistics and guiding teams through unstructured technical problems to deliver business impact
Responsibilities
  • Collaborate with stakeholders from a diverse set of business lines to design new experimentation frameworks to improve Lyft’s decision making efficiency and quality
  • Advise teams on best experimentation practices
  • Create success criteria for Lyft’s core products: build a framework for trading off various business metrics and unify the shipping criteria across various products
  • Build statistical models, pipelines and systems to better measure the true short and long term effects on the marketplace
  • Provide technical guidance for the team