About this role
Role Overview
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Requirements
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Proven experience building and deploying risk models in production environments
- Strong understanding of fraud strategy lifecycle — how model scores translate into rules, thresholds, decline/accept decisions, and case management workflows.
- Familiarity with model explainability (SHAP, LIME, etc.) and the ability to communicate model behavior to non-technical fraud strategy and compliance stakeholders.
- Experience working with transaction-level data at scale (e.g., payments, e-commerce, fintech) is strongly preferred.
Benefits
- Generous paid time off
- Healthcare coverage for you and your family
- Resources to create financial security and support your mental health