Data Scientist position at Sardine.| None

Sardine Data Scientist

Experience: 7-years

Pattern: FullTime

Country:

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North America....None

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Who we are:We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.Our culture:We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhereWe hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.LocationRemote - USA or CanadaFrom Home / Beach / Mountain / Cafe / Anywhere!We are a remote-first company with a globally distributed team. So you can find your productive zone and work from there.About the roleWe're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You'll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. You'll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes.This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.What you'll be doingChampion a data-first approach across internal teams and client engagements, promoting clarity and impactBuild and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to productionDevelop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategiesConduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clientsWork directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendationsUse data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experienceCreate and automate self-serve dashboards leveraging BI toolsCollaborate with engineering to scale models into production, optimize performance, and support data instrumentationPartner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutionsWhat you'll need7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contextsStrong hands-on experience with Python/R and SQL is essential, with Spark being a nice to haveExpertise in BI tools such as Tableau, Sigma, or MetabaseProven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and communicate findings effectively to both technical and non-technical audiences, including clientsSharp critical thinking and creative problem-solving skills with a bias toward actionProficiency in defining, tracking, and communicating performance metricsBenefits we offer:Generous compensation in cash and equityEarly exercise for all options, including pre-vestedWork from anywhere: Remote-first CultureFlexible paid time off and Year-end breakHealth insurance, dental, and vision coverage for employees and dependents - US and Canada specific4% matching in 401k / RRSP - US and Canada specificMacBook Pro delivered to your doorOne-time stipend to set up a home office — desk, chair, screen, etc.Monthly meal stipendMonthly social meet-up stipendAnnual health and wellness stipendAnnual Learning stipendJoin a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

Data Scientist job opportunity at Sardine.

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