Data Scientist, Billing and B2B
Λευκωσία, Nicosia, Cyprus
Wheely
Exquisite chauffeured experiences, available in advance and on demand, for you or for others. Reserve a perfect commute or airport transfer in just seconds.At Wheely, we're a luxury brand on the outside, but a technology company on the inside, building the world's first Luxury-as-a-Service. We believe that time is the ultimate luxury and that modern engineering and design, combined with the industry’s highest standards of service, can unlock an unparalleled experience for our customers. From on-demand chauffeuring, concierge service, to our best-in-class app, we exist to help our clients reclaim their time by connecting them to the places and people that matter.
More than 40% of our team works in product & engineering, and both Wheely founders are technical. We are also unapologetically design centric. It’s not about A/B testing one hundred shades of blue, but crafting the perfect shade. We also take a privacy-first approach and believe 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 put 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.
We are looking for a Data Scientist to work at the intersection of the Billing and B2B departments. You will focus on analyzing and optimizing payment processes, fraud detection, and contributing to the strategic development of B2B services. Also, you will bridge the gap between data analysis and product analytics, applying advanced data techniques to drive product and business decision-making, enhance payment security, and support the growth of our B2B platform.
Responsibilities
- Conduct a detailed analysis of payment processing costs across different countries, providers, and payment systems
- Identify fraud patterns, investigate fraud cases, and develop metrics and reports for monitoring and reporting fraud activities
- Work closely with the B2B team to define high-level strategic decisions and roadmap and contribute to the development of growth models by segmenting B2B customers and identifying the best performing segments (LTV, etc.)
- Review and monitor key B2B and payment metrics throughout the funnel, from account creation and card linkage to recurring payments, debts and disputes
- Participate in the discovery phase with Product Managers, validating product ideas with existing data or market figures, including A/B testing
- Calculate the impact of new features on metrics and communicate findings to the team and the broader company
Requirements
- 2+ years of experience in analytics, data science, machine learning, or a related field
- Bachelor’s/Master's degree in Mathematics, Computer Science, Physics, Engineering, Economics, or related fields
- Advanced skills in SQL and intermediate to advanced proficiency in Python
- Practical understanding of statistics, including A/B testing, statistical significance, and distributions
- Excellent communication skills in English, both written and spoken
Nice to have:
- Experience in fraud detection techniques and familiarity with payment technology industry standards
- Experience with ML models, especially for fraud detection
- Background in cybersecurity, fraud certification, or experience in the marketplace, e-commerce, and ride-hailing domains
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Data analysis E-commerce Economics Engineering Machine Learning Mathematics ML models Physics Privacy Python Security SQL Statistics Testing
Perks/benefits: Career development Competitive pay Equity Flex hours Gear Relocation support Startup environment Team events
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