Thanks to our innovative BuyNow PayLater payment solution, Scalapay is transforming the way more than 5 million customers buy online and in-store, empowering 8,000+ merchants (online and in-store) to give their customers magical shopping experiences.
Being only 3 years old didn’t stop us from becoming a unicorn 🦄 We have raised over $700mln and we did this thanks to a team built around our 4 core values: #MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer.
This is where your magic happens. If you love it, Scalapay it ♥
Are you passionate about leveraging data to drive informed decision-making and ensure the sustainable growth of a dynamic company? Join us as a Risk Data Scientist and contribute to shaping the core strategy of our business - the risk management.
You will be responsible for:
- Develop, fine-tune, and deploy predictive algorithms using cutting-edge machine learning techniques and optimization models.
- Work closely with our Risk decision analysts to create automated solutions that detect and mitigate emerging fraudulent trends.
- Collaborate with the Product team to design experiments, analyse results, and extract actionable insights to enhance Scalapay's offerings. This will involve statistical modelling, correlation analysis and causal inference to understand behaviours inside the Scalapay product.
- Stay ahead of the curve by staying updated on the latest technologies and industry trends.
You’ll be great for this role if:
- Deep theoretical and applied knowledge in traditional machine learning, as well as knowledge in statistical inference, time series analysis and forecasting, or mathematical optimisation.
- Extensive experience with the end-to-end model development cycle. Familiarity with orchestration tools and cloud infrastructures.
- Excellent coding skills (SQL, Python/R)
- Strong problem-solving abilities, with a knack for translating business challenges into data-driven hypotheses.
- The ability to own and manage the entire data pipeline for your projects proactively.
- Adaptability and change management skills to thrive in a fast-paced environment.
- Exceptional communication skills in English, both written and verbal, to effectively convey complex ideas to diverse audiences.
Bonus Points for:
- An advanced degree (MSc or PhD) in Statistics, Computer Science, Mathematics, Physics, Operations Research, or related fields.
- Experience in start-up environments, or in the Risk/Fraud domain.
Why you should join Scalapay:
- Attractive packages based on skills and experience - the salary band we have for this position is of 60'000-70'000 € (Gross Annual Salary)
- International environment with significant challenges to be met every day
- Lots of opportunities to work with a team of industry tech leaders who are focused on delivering products that offer exceptional user experiences
- Personalised support to accelerate your professional growth and take ownership of the products you deliver: we want to help you grow!
- Latest technologies and being encouraged to bring your flair to the role.
Recruitment Process:
- A quick chat with one of our Talent Acquisition team members
- The first interview with the Hiring Manager to dive deep into your experiences and better understand your motivation
- A case study to test your hard skills
- A final chat with Simone, our CEO
Want to learn more? Don't hesitate to explore our Careers website, our LinkedIn, Meritocracy and Glassdoor pages.
Pro tip: send your CV in English 😉
Super Pro tip: we know that application processes can be scary and frustrating but… we look for talent, not people that tick all our boxes.
We believe in the power of diversity: Scalapay is an Equal Opportunity Employer for any minority, disability, gender identity or sexual orientation.
