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Lyft // on-demand ride-sharing
 
Engineering, Full Time    Minsk, Belarus    Posted: Tuesday, May 04, 2021
 
   
 
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JOB DETAILS
 

At Lyft, our mission is to improve peoples lives with the worlds best transportation. To do this, we start with our own community by creating an open, inclusive, & diverse organization.

Data Science is at the heart of Lyfts products & decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the worlds best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal & external products. Were looking for passionate, driven Data Scientists to take on some of the most interesting & impactful problems in ridesharing.

As a Data Scientist, Decisions, you will leverage data & rigorous, analytical thinking to shape the companys product & business decisions. You will identify & scope opportunities, shape priorities, recommend solutions, design experiments, & measure impact. You will bring a quantitative mindset to decision-making in partnership with product, business, & operations stakeholders throughout the organization. 

Sample problems that we solve:

  • Whats the marginal effect of 1min of ETA to conversion & cancels ?
  • Where are our drivers & passengers ?
  • How can we get them from point A to point B ?
  • What defines good pick-up & drop-off spots ?
  • What do trips tell us about map defects ?

Responsibilities:

  • Leverage data & analytic frameworks to identify opportunities for growth & efficiency 
  • Partner with product managers, engineers, marketers, designers, & operators to translate data insights into decisions & action
  • Design & analyze experiments; communicate results & act on launch decisions
  • Develop analytical frameworks to monitor business & product performance
  • Establish metrics that measure the health of our products, as well as rider & driver experience

Experience:

  • Degree in a quantitative field such as statistics, economics, applied math, operations research, engineering or relevant work experience. Advanced degrees are preferred
  • 3+ years of industry experience in a data science or analytics role
  • Proficiency in SQL - able to write structured & efficient queries on large data sets
  • Experience in programming, especially with data science & visualization libraries in Python or R
  • Strong oral & written communication skills, & ability to collaborate with & influence cross-functional partners

Benefits:

  • Professional & stable working environment.
  • The latest technology & equipment you need.
  • English classes with native speakers.
  • 28 calendar days for vacation & up to 10 paid days off + opportunity to work remotely. 
  • Spacious office facing National Library.

 

 
 
 
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