Associate Data Scientist - Operations Research
Key Skills for This Role
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About Wheely
Wheely is a high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East. We combine technology with the art of five-star chauffeuring to deliver a consistently exceptional experience.
As a profitable, fast-growing scale-up with $43M raised, we're expanding rapidly across EMEA and the US. We're adding exceptional talent to drive our next phase of growth.
Responsibilities
- Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML and optimisation models into production
- Continuously improve existing algorithms and identify opportunities for new ones
Requirements
- Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
- Strong foundation in mathematical optimisation or mathematical programming
- Solid knowledge of probability & statistics
- Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)
Nice to have
Exposure to dynamic pricing, auction design, or marketplace matching problems
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
- Equity in the form of stock options
- We provide a relocation allowance to cover flights/ initial accommodation, and we also provide visa sponsorship and assistance.
- Office lunches, as Wheely has an in-person culture
- Private medical insurance
- Newest Mac equipment
- Professional development. An annual stipend to use for continuing education courses, programs, conference or certifications.
- All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
About Wheely
Private British luxury chauffeur and concierge service serving discerning travellers through an app.
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