Data Scientist

Position Overview

• Location Type: Remote - US or Canada
• Employment Type: Full-Time
• Salary: $150K - $170K
• Company: Sardine

Sardine is a leader in fraud prevention and AML compliance, utilizing device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide use Sardine to combat identity fraud, payment fraud, account takeovers, and social engineering scams. The company has raised $145M from investors like Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Sardine maintains a remote-first work culture with hubs in the Bay Area, NYC, Austin, and Toronto.

About the Role

As a Data Scientist, you’ll play a key role in helping customers 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 help standardize modeling workflows and collaborate with engineering to streamline backend systems.

What You’ll Be Doing

• Champion a data-first approach across internal teams and client engagements.
• Build and deploy machine learning models to prevent fraud across diverse fintech use cases.
• Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience.
• Evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives.
• Collaborate with engineering to scale models into production and optimize performance.

What You’ll Need

• Experience: 5+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts.
• Education: Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.).
• Technical Skills:
  • Strong working knowledge of Python, R, Spark, SQL, or equivalent.
• Soft Skills:
  • Sharp critical thinking and creative problem-solving skills with a bias toward action.
  • Proven ability to explain complex technical findings to non-technical stakeholders and clients.

Company Information

• Culture: Remote-first with a globally distributed team. Prioritizes work-life balance and flexibility.
• Location: Remote (Work from any location – home, beach, mountain, cafe, etc.)