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
What you'll do
You will own the entire process: from ideation and research through to production deployment. You'll join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching.
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
Tech stack
- Python
- SQL
- PyTorch
- Core ML tooling
Team description
You'll join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching.
Benefits & perks
- Flexible working hours
- Stock options
- Relocation allowance to cover flights/ initial accommodation, and 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
- Competitive salary
