Lyft Data Scientist Interview Questions

Review this list of Lyft data scientist interview questions and answers verified by hiring managers and candidates.
  • +41

    "Lyft at its core is a marketplace with drivers and cars on the supply side, and passengers on the demand side. I would begin by dividing the goal of the dashboard into two categories : Health of the marketplace Health of the app/ reliability from a technical perspective The second one is more straightforward so I’ll briefly mention some overarching metrics I would look at and come back to it later if time allows. Health or reliability of the app can be further divided into the following -"

    Sukriti C. - "Lyft at its core is a marketplace with drivers and cars on the supply side, and passengers on the demand side. I would begin by dividing the goal of the dashboard into two categories : Health of the marketplace Health of the app/ reliability from a technical perspective The second one is more straightforward so I’ll briefly mention some overarching metrics I would look at and come back to it later if time allows. Health or reliability of the app can be further divided into the following -"See full answer

    Data Scientist
    Analytical
  • +1

    "Is there a reason a confidence interval was used to solve this problem over just using the mean/expected value directly?"

    Aarav G. - "Is there a reason a confidence interval was used to solve this problem over just using the mean/expected value directly?"See full answer

    Data Scientist
    Statistics & Experimentation
  • "Probability that a coupon is used = P Probability that a coupon is not used = 1-P Probability that none of the N coupons are used = (1-P)^N Probability that at least one of the N coupons are used = 1 - (1-P)^N"

    Saurabh K. - "Probability that a coupon is used = P Probability that a coupon is not used = 1-P Probability that none of the N coupons are used = (1-P)^N Probability that at least one of the N coupons are used = 1 - (1-P)^N"See full answer

    Data Scientist
    Statistics & Experimentation
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