Senior Data Scientist, Risk and Support

Quick Facts

• Role: Data Scientist (Agentic Data Science)

Description

The Data Science team turns customer and product data into decisions that expand access to financial services. This role builds, measures, and improves Risk and Support Operations decisioning with speed and quality, partnering with product, engineering, and risk teams to define metrics, evaluate experiments, understand customer behavior, and convert ambiguous product questions into clear decisions. It is an agentic role using AI tools and agent workflows across the full data science loop—exploring messy datasets, building pipelines, stress-testing hypotheses, evaluating product changes, and turning analysis into decisions.

You Will

• Turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems
• Use AI tools and agent workflows to improve the speed and quality of analytical work (accelerate exploration, automate repetitive tasks, generate hypotheses, stress-test conclusions)
• Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
• Define and maintain measurement frameworks for Support and Risk Operations, including contact demand forecasting, staffing modeling, queue health and optimization
• Partner with risk teams to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact
• Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth
• Approach ambiguous Risk and Support questions from first principles using statistical judgment for cohorts, metrics, and decision criteria
• Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers
• Lead technical direction and standards for the Data Science team by building reusable frameworks, measurement templates, and scalable tooling
• Drive localized cross-team impact by connecting measurement and insights across Support and Risk Operations
• Mentor and grow the team by developing junior data scientists and contributing to hiring

Requirements

• Bachelor’s degree in statistics, data science, economics, computer science, or similar quantitative field with 12+ years of relevant experience, or
• Graduate degree in the same fields with 6–8+ years of relevant experience
• Advanced proficiency with SQL
• Experience building clear, decision-oriented data visualizations
• Strong product, analytical, and statistical judgment to translate ambiguous questions into sound analyses and communicate tradeoffs
• Experience using AI tools to improve the speed, quality, and durability of analytical work

Benefits

• Remote work
• Medical insurance
• Flexible time off
• Retirement savings plans
• Modern family planning