We help businesses of all sizes minimize their fraud exposure and grow their sales. We improve the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud 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 skillsets 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.

From the beginning of Signifyd, the R&D team has always had a strong contingent of remote folks, both individual contributors and leadership. The challenges of working remotely aren't new to us and we understand that a healthy remote work culture requires active investment.

How you'll have an impact:

Research emerging fraud patterns in real-time with our Risk Intelligence team
Improve the important components of the Signifyd Commerce Protection Platform
Communicate complex ideas to a variety of audiences, including executives
Build production machine learning models that identify fraud
Write production and offline analytical code in Python
Work with distributed data pipelines
Collaborate with engineering teams to strengthen our machine-learning pipeline

Past experience you'll need:

A degree in computer science or a comparable analytical field
3+ years of post-undergrad work experience required
Experience leading projects
Strong verbal and written communication skills
Strong machine learning and statistical background and a track record of being able to deliver under pressure.
Write code and review others' in a shared codebase in Python
Practical SQL knowledge
Design experiments and collect data
Familiarity with the Linux command line
This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun. While the number of shifts is subject to change, currently it works out to about six weekends a year.

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD

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:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

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

$115,000—$135,000 USD

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Data Scientist II

CALIFORNIA • MARYLAND • UTAH