Data Scientist

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.

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
• 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

What you’ll need

• 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

Compensation: Base pay range of 150,000 – 170,000 USD / 166,000 – 210,000 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.

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, Year-end break, Self care days off
• 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
• Unlimited access to an expert financial advisory