# Senior Data Scientist at Sardine Senior Data Scientist at Sardine in North America and 2 more. Remote, full-time, paying $170k–$210k. Posted August 11, 2026. - Company: Sardine - Location: North America and 2 more - Workplace: Remote - Job type: Full-time - Pay: $170k–$210k - Experience: 7+ years - Posted: 2026-08-11 - Apply: https://jobs.ashbyhq.com/sardine/e6764411-1740-4ce1-8a9a-79ad459082ea/application - Source: https://jobmagic.ai/jobs/senior-data-scientist-sardine-9v9p9f ## Requirements - 7+ 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 contexts - Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have - Expertise in BI tools such as Tableau, Sigma, or Metabase - Proven 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 clients - Sharp critical thinking and creative problem-solving skills with a bias toward action - Proficiency in defining, tracking, and communicating performance metrics ## Description **Who we are:** Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. **Our culture:** - We 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. - We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible *within* your country, not borderless. **Location** - Remote - USA or Canada **About the role** We'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 doing** - Champion a data-first approach across internal teams and client engagements, promoting clarity and impact - Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production - Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies - Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients - Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations - Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience - Create and automate self-serve dashboards leveraging BI tools - Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation - Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions **What you'll need** - 7+ 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 contexts - Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have - Expertise in BI tools such as Tableau, Sigma, or Metabase - Proven 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 clients - Sharp critical thinking and creative problem-solving skills with a bias toward action - Proficiency in defining, tracking, and communicating performance metrics **Benefits we offer:** - Generous compensation in cash and equity - Early exercise for all options, including pre-vested - Work from anywhere: Remote-first Culture - Flexible paid time off and Year-end break - Health insurance, dental, and vision coverage for employees and dependents - *US and Canada specific* - 4% matching in 401k / RRSP - *US and Canada specific* - MacBook Pro delivered to your door - One-time stipend to set up a home office — desk, chair, screen, etc. - Monthly meal stipend - Monthly social meet-up stipend - Annual health and wellness stipend - Annual Learning stipend Join 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**.*