The Data Science team builds production machine learning models and fraud mitigation tools 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 skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, from individual contributors up to the executive level. The challenges of working remotely aren't new to us and we have a track record of iterative improvements to our remote culture.
You'll be on a horizontally-focused team that works on tooling for data scientists in order to help the organization fight fraud attacks and scale. You will be leading and planning data- and algorithmically-driven tools and helping test whether these strategies are effective.
Here you'll have the opportunity to:
Past experience you'll need:
Bonus points if you have:
Check out how Data Science is powering the new era of Ecommerce
Check out our Director of Data Science featured in Built In
#LI-Remote
Benefits in our US offices:
Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
USA Base Salary Pay Range
Signifyd's Applicant Privacy Notice
Signifyd was founded in 2011. Our two founders came from PayPal, and they were inspired to create a solution that uses big data, machine learning, and expert manual review to provide a 100 percent financial guarantee against fraud on approved orde...
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