Mid- and senior-level Data Scientists/ML Engineers at Wheely, a chauffeur ride-hailing service, own models end-to-end from ideation to production on Passenger, Supply, Matching or Mapping teams — working on ETAs, dispatching, journey quality scores and pricing. Core requirements are Python and strong probability/statistics fundamentals.
Hidden Data Scientist/ ML Engineer - Passenger/ Supply/ Matching/ Mapping
We are looking for mid-level and senior Data Scientists / ML Engineers at Wheely. You will own the entire process of building, from initial ideation and research to implementation of models in production.
You will join one of our teams (Passenger/ Supply/ Matching/ Mapping) - working on difficult problems such as developing the driving model, building chauffeur and journey quality score, predicting ETAs, dispatching immediate and future requests as well as pricing journeys to maximize demand & supply.
Locations: London (HQ) and Nicosia (Cyprus) depending on level.
Responsibilities
Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production.
Building new proofs of concept and improving existing algorithms.
Researching and then delivering PoC into products.
Requirements
STEM degree from a top 3 university in your country.
2+ years of experience in Data Science / Machine Learning or similar.
Excellent programming skills in Python and relevant tools.
Deep understanding of fundamentals of probability and statistics.
Working Conditions
Equity in the form of stock options.
Relocation allowance to cover flights/initial accommodation & visa sponsorship and assistance.
Office lunches, as Wheely has an in-person culture.
Private medical insurance.
Newest Mac equipment.
Professional development with an annual stipend for continuing education courses, programs, conferences or certifications.