Data Scientist - Fraud Post Sales
Data Scientist builds and deploys ML models to combat fraud, collaborates with clients on risk solutions, and scales models to production. Requires 5+ years in data science, Python/SQL/Spark proficiency, and strong communication skills.
About the job
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
- 5+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts.
- 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.
Skills
Python, R, Spark, SQL, Machine Learning, Graph Analytics
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