Data Scientist II - San Jose, United States - Signifyd
Description
The Data Science team builds production ML models and risk management tools that are the core of Signifyd's product.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 teamImprove the important components of the Signifyd Commerce Protection PlatformCommunicate complex ideas to a variety of audiences, including executivesBuild production machine learning models that identify fraudWrite production and offline analytical code in PythonWork with distributed data pipelinesCollaborate with engineering teams to strengthen our machine-learning pipelinePast experience you'll need:A degree in computer science or a comparable analytical field3+ years of post-undergrad work experience requiredExperience leading projectsStrong verbal and written communication skillsStrong 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 PythonPractical SQL knowledgeDesign experiments and collect dataFamiliarity with the Linux command lineThis 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-commerceData analysis in a distributed environmentPassion for writing well-tested production-grade codeA Master's Degree or PhDCheck out how Data Science is powering the new era of EcommerceCheck out our Director of Data Science featured in Built In#LI-RemoteBenefits in our US offices:Discretionary Time Off Policy (Unlimited)401K MatchStock OptionsAnnual Performance Bonus or CommissionsPaid Parental Leave (12 weeks)On-Demand Therapy for all employees & their dependentsDedicated learning budget through LearnerblyHealth InsuranceDental InsuranceVision InsuranceFlexible Spending Account (FSA)Short Term and Long Term Disability InsuranceLife InsuranceCompany Social EventsSignifyd SwagWe want to provide an inclusive interview experience for all, including people with disabilities.