Wheely

Applied Scientist (Machine Learning)

In short

Applied Scientist role at Wheely working on machine learning and mathematical optimisation for dynamic pricing and bipartite matching, joining either the Pricing or Matching team. The role requires a Master's or PhD in Operations Research, Mathematics, or a related field with focus on optimisation, plus strong skills in Python, SQL, PyTorch, probability, statistics, reinforcement learning, and causal inference. Based in Nicosia, Cyprus, office four days a week with one remote day, salary from €4,000/month net, with relocation support and visa sponsorship offered.

Location: Nicosia, Cyprus; office-based four days per week with one remote day of choice
Salary: From €4,000 per month net
Company
Wheely is a profitable scale-up developing premium chauffeuring and transportation services across Europe, the US, and the Middle East.
What you will do
•Own the process from ideation and research through production deployment.
•Join the Pricing or Matching team and solve high-impact problems such as dynamic pricing and bipartite matching.
•Collaborate with engineers, Data Scientists, designers, and product managers on ambiguous problems.
•Research, prototype, and deploy machine learning and optimisation models.
•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, reinforcement learning, and causal inference.
•Excellent programming skills in Python and core machine learning tooling, including SQL and PyTorch.
•Ability to work from the Nicosia office four days per week.
Nice to have
•Experience with dynamic pricing, auction design, or marketplace matching problems.
•Publications in Q1 or A* journals or participation in NeurIPS and other conferences.
Culture & Benefits
•Flexible start and finish times.
•Employee stock options plan.
•Private medical and dental insurance.
•Daily lunch allowance.
•Latest-generation MacBook Pro and 4K display.
•Professional development stipend and relocation support including visa sponsorship and an allowance.

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