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 experienced iterative improvements to our remote culture.How you'll have an impact:Be directly responsible for the performance of enterprise merchants with household names.Research real-time new fraud patterns 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 field5+ 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 lineBonus 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. We are happy to provide reasonable accommodations to candidates in need of individualized support during thehiringprocess.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, abilities, and location, as well as internal equity and alignment with market data.USA Base Salary Pay Range $140,000 — $160,000 USDSignifyd's Applicant Privacy Notice
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