Checkout
As a Fraud Data Scientist at Checkout.com, you will protect the ecosystem from sophisticated financial fraud by owning the end-to-end machine learning lifecycle. You will design, train, and deploy advanced models in real-time production environments while collaborating with engineering and risk teams to balance security with user experience. The role involves building agentic workflows, conducting adversarial analysis, and establishing rigorous experimentation frameworks to mitigate fraud vectors.
Headquarters
London, England, United Kingdom
Company Size
1001-5000 employees
Founded
2012
Boost your acceptance rate, cut processing costs, fight fraud, and create extraordinary customer experiences with Checkout.com's payment solutions.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Checkout.
Checkout didn’t post a salary, so this is our estimate from similar listings.
14% below the average for this role
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