Data Scientist - Machine Learning (remote)

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.

We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #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.

Remote - US or Canada

From Home / Beach / Mountain / Cafe / Anywhere!

We are a remote-first company with a globally distributed team. As a Data Scientist on our team, 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.

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.

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

Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience

Work directly with clients to understand challenges and deliver high-impact, data-driven solutions

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

5+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts

• Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.)
• Strong working knowledge of Python, R, Spark, SQL, or equivalent
• 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

Base pay range of 150,000 - 170,000 USD / 210,000 - 240,000 CAD + Series C equity with tremendous upside potential + Attractive benefits

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

Generous compensation in cash and equity

• Remote-first Culture
• Flexible paid time off, Year-end break, Self care days off
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly social meet-up stipend
• 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 .

150K – $170K • Offers Equity