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Data Scientist (Maps)

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Wheely

3mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Product
  • London

AI generated summary

  • You should have geo tech or graph theory knowledge, experience in predictive ML or data analytics, and a relevant advanced degree. Proven deployment and impact measurement experience is essential.
  • You will develop models for ETA correction and traffic forecasting, collaborate with cross-functional teams, analyze system performance, and enhance metrics dashboards for map insights.

Requirements

  • Understanding of geo tech application or graph theory, practical experience is a huge plus.
  • Experience in predictive machine learning or simulation, data analytics.
  • PhD or Master's degree in computer science, statistics, or related quantitative fields is a plus.
  • Proven experience of deploying solutions to production and measuring the impact.

Responsibilities

  • Help build heuristic and machine learning models for ETA correction, next 30-second car position, traffic speed forecasting and more.
  • Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production.
  • Research current system deficiencies and behaviour.
  • Create / improve metrics dashboards to understand maps situation at any given time.

FAQs

What is the main focus of the Data Scientist (Maps) role at Wheely?

The main focus is to mix strong data science skills with a passion for delivering a seamless product experience related to geo-services, such as building heuristic and machine learning models for various traffic and routing improvements.

What qualifications are required for this position?

Candidates should have an understanding of geo tech application or graph theory, experience in predictive machine learning or simulation, and experience in data analytics. A PhD or Master's degree in computer science, statistics, or related quantitative fields is a plus.

Is prior experience in deploying solutions to production necessary?

Yes, proven experience of deploying solutions to production and measuring their impact is required.

How does Wheely approach the design of its products?

Wheely is unapologetically design-centric, focusing on crafting the perfect user experience rather than simply making minor changes, such as A/B testing multiple design variations.

What kind of team will the Data Scientist be working with?

The Data Scientist will work with a cross-functional team consisting of engineers, designers, and product managers to address ambiguous problems and implement algorithms in production.

Where is this position based?

This is an office-based role located in West London.

What benefits does Wheely offer to its employees?

Wheely offers a competitive salary and equity package, medical insurance including dental, life and critical illness insurance, a monthly credit for Wheely journeys, lunch allowance, professional development subsidies, cycle to work scheme, top-notch equipment, and a relocation allowance (dependent on role level).

What is Wheely's stance on diversity and inclusion?

Wheely is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive environment for all employees.

Are flexible working hours available?

Yes, Wheely offers flexible working hours and allows for work from home when needed, although they maintain an in-person culture.

What type of projects is the Data Scientist expected to work on?

The Data Scientist is expected to help build models for ETA correction, traffic speed forecasting, and other geo-related analytics, as well as improve metrics dashboards to track mapping situations.

Wheely sets the gold standard in ride-hailing, with professional chauffeurs expertly driving premium vehicles.

Technology
Industry
201-500
Employees
2010
Founded Year

Mission & Purpose

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.