Algorithms, Data science techniques, Machine learning techniques, Marketplace, Python Programming, R Programming, Simulation software, SQL, Statistical modeling
The Marketplace team works is responsible for matching passenger requests with available Chauffeurs. Their areas of responsibility are pricing, dispatching/matching protocols and incentives. Their success criteria are to maximize welfare (i.e. reliability, utilization) and to avoid a known failure mode of ride-hailing marketplaces known as the wild goose chase.
Discretion is one of Wheely’s core values — where people travel, and who they travel with, is at their discretion. We respect their private life and their actions. Wheely has in the past refused to hand over requests to share passenger/journey data to governments, and we will continue to honour our commitment. This has led us to start developing technology in 2020 to put our clients’ movements beyond our own reach.
ABOUT WHEELY
Wheely is building the future of luxury personal services—starting with a chauffeuring service that offers maximum safety, absolute privacy, and consistently perfect experiences.
RESPONSIBILITIES
As a Staff Applied Scientist, your mission will be to build Wheely’s marketplace strategies to drive welfare (reliability, utilization) through initiatives like pricing, dispatch/matching and incentives.
You will:
REQUIREMENTS
BENEFITS
Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.
A luxury ride-hailing service which brings together professional chauffeuring of the highest standard and the convenience of all things mobile. Wheely currently operates in London, Moscow, Paris and Dubai. Our easy to use app allows to request executive journeys both on-demand or in advance.