Data Scientist Ii

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers.

Our advanced technology, combined with a team genuinely invested in our clients' success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year.

Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity.

Join us on our mission to empower fearless commerce by helping online retailers provide superior customer experiences and eliminate fraud.

Learn about our company valueshere !

Department : Applied Decision ScienceThe Applied Decision Science team drives client performance and ensures long-term stability.

This involves a diverse range of responsibilities, from feature engineering and client-specific models that address unique regional or business needs, to adjusting thresholds and creating rules for optimal decisioning outcomes.

We lead critical proof-of-value studies, conduct in-depth pricing analyses, and perform swift loss investigations to properly mitigate fraud attacks.

We thrive on collaboration with the Risk Intelligence, Chargeback Investigation, and Product teams, and our contributions include pioneering novel modeling methods, advanced feature engineering, and robust mitigation management.We are looking for someone who embodies our company values : Curious and Hungry : Be willing to do research and design experiments by being hands-onTenacious : Creating something new is hard work, and our Data Scientist team never gives upCustomer Passion : Be the backbone to our platform, and help us stay ahead of fraudstersDesign for Scale : Work with the rest of the Data Science team to make fraud protection at scale possibleAgile : Some days you may spend doing research and designing experiments while others are spent using your analytical toolbox to surface insights into real-time fraud attacks.Roll Up Your Sleeves : Partner closely internally to learn from others, and succeed as a teamHow you'll have an impact : Building production machine learning models that identify fraudDesigning new algorithms that optimize all the key components of the Signifyd Commerce Protection PlatformWriting production and offline analytical code in Python and JavaResearching real-time emerging fraud patterns with the Risk Analysis teamWorking with distributed data pipelinesCommunicating complex ideas effectively to a variety of audiencesCollaborating with engineering teams to continuously strengthen our machine learning pipelineMentoring other members of the teamPast experience you'll need : Bachelor's degree in computer science, applied mathematics, economics, or an analytical fieldAn advanced degree (M.S. or Ph.D) in an analytical field is a plusAt least 3+ years of experienceHands-on statistical analysis with a solid fundamental understandingDesigning experiments and collecting dataWriting code and reviewing others' in a shared codebase, preferably in Python and JavaPractical SQL knowledgeFamiliarity with the Linux command lineExperience we love to see : Data analysis in a distributed environmentPassion for writing well-tested production-grade codeUsing visualizations to communicate analytical results to stakeholders outside your teamWorking directly with Go-to-Market teamsPrevious work in fraud, payments, or e-commerceCheck out our Director of Data Science featured in Built InBenefits in Mexico : Life Insurance of 24 months salaryAnnual Performance BonusChristmas Bonus of 1 Month's SalaryStock OptionsFlexible Work ArrangementsTelework Stipend for Home Internet12 Paid Vacation Days with 85% Vacation PremiumsPaid HolidaysCompany Social EventsSignifyd SwagDedicated learning budget through LearnerblyOn-Demand Therapy for all employees & their dependentsWe 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.Interested in building your career at Signifyd?

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