Senior Data Scientist, Risk

What You’ll Do

• Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain.
• Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc.
• Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders
• Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization
• Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics

What We’re Looking For

• 5+ years of experience in data science, analytics, or related fields.
• Proficiency in SQL and Python for data manipulation, modeling, and automation.
• Experience building production-ready models and pipelines.
• Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference).
• Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders.
• Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred.
• Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential.