Automation, Azure, Dask - Python library, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, Spark-SQL, SQL
Job Description
About the Role
Checkout.com is looking for a data scientist to work on research and development of Machine Learning (ML) models for fraud detection. These algorithms will be deployed to provide near-real-time transaction risk predictions, which Checkout.com’s merchants use to make smart payment routing decisions based on their risk appetite.
You'll join an enterprising team of data scientists and engineers who are working to deliver fraud detection ML models at scale. Your primary responsibility will be ML research. Your work will significantly move the needle within a product area that has high strategic importance to Checkout.com.
Key Responsibilities
Qualifications
About You
Nice to have
Additional Information
Apply without meeting all requirements statement
If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.
When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.
We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.
Checkout.com, is an international financial technology company which processes payments for other companies. Founded as Opus Payments in 2009, it is headquartered in London, United Kingdom. It had a valuation of $40 billion in 2022, making it the most valuable European fintech startup.