Full-Time

Data Science

Decisions, Airports

Updated on 5/29/2024

Lyft

Lyft

10,001+ employees

Rideshare, bikeshare, and electric scooter services


Mid

Toronto, ON, Canada

Required Skills
Python
Data Science
SQL
Data Analysis
Requirements
  • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering
  • 3+ years of industry experience in a data science, analytics, or management consulting role
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
  • Proficiency in SQL and Python
  • Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Responsibilities
  • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
  • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
  • Construct and fit statistical, machine learning, or optimization models
  • Design and analyze online experiments; communicate results and act on launch decisions
  • Develop analytical frameworks to monitor business and product performance
  • Establish metrics that measure the health of our products, the business, as well as the driver experience

Lyft offers a flexible ride-sharing service that allows drivers to set their own schedules and earn on their own terms. The company utilizes shared rides, bikeshare systems, electric scooters, and public transit partnerships to promote transportation equity and offset carbon emissions.

Company Stage

IPO

Total Funding

$4.8B

Headquarters

San Francisco, California

Founded

2012

Growth & Insights
Headcount

6 month growth

3%

1 year growth

4%

2 year growth

2%