Overview

Lime is the world’s largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!

We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment.

What You’ll Do:

  • Develop a deep understanding of a particular problem space that’s relevant to the business and propose solutions to improve it
  • Conduct statistical analysis to extract insights from the data and communicate findings
  • Guide product and strategic decisions with experimentation and in-depth analyses
  • Build models that help optimize business decisions
  • Define metrics and build data pipelines that make data insights accessible to all

About You:

  • MS in Economics, Statistics, Applied Mathematics, or other quantitative fields – PhD is a plus
  • 5+ years of industry experience as a Data Scientist
  • Proficient in SQL and a programming language such as Python
  • Hands-on experience with data pipelines and visualization tools
  • Deep and practical understanding of probability and statistics, including causal inference
  • Understanding of Machine Learning algorithms and practical experience building them is a plus but not required
  • Ability to communicate technical concepts to a general audience
  • Great product intuition and ability to generate hypotheses alone
  • Capable of turning insights into actionable product ideas
  • Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment