The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experience iterative improvements to our remote culture.
How you'll have an impact:
Past experience you'll need:
Bonus points if you have:
(Colorado only*) Minimum salary of $95,000 + bonus + equity + benefits.
Benefits in the USA:
Signifyd provides an end-to-end Commerce Protection Platform that leverages its Commerce Network to maximize conversion, automate customer experience and eliminate fraud and consumer abuse for retailers. Signifyd’s customers appear on the Fortune 1000 and Digital Commerce 360 Top 1000 lists. Digital Commerce 360 also named Signifyd the leading provider of payment security and fraud prevention for the Top 1000 Retailers for 2022. Signifyd is headq