Data Scientist

Posted 17 Days Ago
Be an Early Applicant
Nicosia
7+ Years Experience
Mobile • Software
The Role
As a Data Scientist in the Growth team at Wheely, you will create models for traffic attribution, conduct experiments to improve growth metrics, and analyse opportunities for growth and user experience enhancements. Responsibilities include designing and analysing experiments, creating models for traffic attribution, and measuring the quality of experiences across different markets and user segments.
Summary Generated by Built In

We are a luxury brand on the outside, but a technology company on the inside, building the world’s first luxury-as-a-service. Operating as a two sided ‘ride-hailing’ marketplace, our platform connects customers in the premium and luxury consumer and business segments with more than 3,000 chauffeur partners in London, Paris, Dubai and beyond.

Our team is our greatest asset, with more than 40% working in product and engineering roles. Both of our founders come from technical backgrounds, ensuring that innovation is at the heart of everything we do.

Our privacy-first approach ensures that where people travel, and who they travel with, is at their discretion. We have refused government requests to hand over journey data and are currently developing bespoke technology to protect our clients’ movements beyond even our own reach.

Backed by leading global investors, Wheely is poised for the next phase of our journey. Over the next 5-10 years, we plan to offer a full portfolio of luxury services and expand into more international cities, building on our success in London, Paris, and Dubai.

Requirements

  • Bachelor degree in Mathematics, Economics, Computer Science, or Statistics
  • A minimum of one year experience in analysing large data sets
  • Proficiency in SQL, along with a solid understanding of Python for data analysis purposes
  • Competence in at least one business intelligence tool such as Looker or Metabase, and a strong grasp of data visualisation techniques
  • Proven track record in leading experimental initiatives, use of statistical methods, design and analysis of experiments, and providing insightful recommendations
  • Familiarity with supervised machine learning frameworks, including but not limited to, Linear Regression, Decision Trees, and Gradient Boosting

What we offer

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.

  • Competitive salary
  • Employee stock options plan
  • Relocation allowance
  • Lunch allowance
  • Medical insurance, including dental
  • Best-in-class equipment
  • Professional development subsidies
  • Wheely has an in-person culture but allows flexible working hours and work from home when needed

Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Top Skills

Sql,Python
The Company
HQ: London
234 Employees
On-site Workplace
Year Founded: 2010

What We Do

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.

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