Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Data Scientist image - Rise Careers
Job details

Data Scientist

Wheely is a luxury brand operating as a technology company, connecting customers with chauffeur partners through its innovative platform. They seek a skilled Data Scientist to analyze data and support decision-making.

Skills

  • Proficiency in SQL
  • Strong programming skills in Python
  • Experience with business intelligence tools
  • Familiarity with machine learning frameworks

Responsibilities

  • Analyze large data sets
  • Design and analyze experiments
  • Provide insightful recommendations
  • Develop data visualizations

Education

  • Degree in Mathematics, Economics, Computer Science, or Statistics

Benefits

  • Flexible working hours
  • Stock options
  • Medical insurance
  • Life and critical illness insurance
  • Monthly credit for Wheely journeys
  • Lunch allowance
  • Professional development subsidies
  • Cycle to work scheme
  • Top-notch equipment
  • Relocation allowance
To read the complete job description, please click on the ‘Apply’ button
Wheely Glassdoor Company Review
4.0 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
Wheely DE&I Review
3.9 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
CEO of Wheely
Wheely CEO photo
Anton Chirkunov
Approve of CEO

Founded in Zurich in 2010, Wheely currently operates in London, Moscow, and Paris. Today, the brand has established itself as the go-to chauffeur-driven app - and is experiencing rapid growth. We are the leader in the luxury ride-hailing market, ...

5 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$50,000/yr - $80,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 13, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!