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Data Scientist

Lyft5 days ago
Toronto
CA$63,028 - CA$78,785/yearly
Mid Level

Top Benefits

Medical, dental, vision insurance
Mental health benefits
Unlimited paid time off

About the role

Who you are

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

What the job involves

  • As a Data Scientist on the Map Experience team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve Lyft’s in-house mapping product, Lyft Maps
  • We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers
  • Data Science is at the heart of Lyft’s products and decision-making
  • You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first
  • This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features
  • You will help us solve some of the most impactful problems in mapping, including:
  • How do we design a frictionless navigation experience for rideshare drivers?
  • Are drivers able to follow our guidance
  • How can we categorize and prioritize navigation issues on our platform?
  • What defines a good pick-up experience between a rider and a driver?
  • How do we benchmark and measure the success of map services?
  • 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
  • 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, as well as rider and driver experience

Benefits

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
  • Family building benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

About Lyft

Ground Passenger Transportation
10,000+

Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.