Data Scientist
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Job Description
Data Scientist developing machine learning solutions for fraud prevention and AML compliance. Collaborating with clients to address evolving fraud challenges in a remote-first organization.
Responsibilities:
- 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
Requirements:
- 7+ 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
Benefits:
- 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
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