Senior Data Scientist, Risk and Support
Leads data science for Support and Risk Operations by developing measurement systems, experiments, forecasts, and decision frameworks. Requires advanced SQL, strong statistical and product judgment, AI-assisted analytical workflows, and 6–8+ years with a graduate degree or 12+ years with a bachelor’s degree.
About the job
Responsibilities
- Turn complex product, customer, and risk data into insights, decision frameworks, and measurement systems.
- Use AI tools and agent workflows to accelerate data exploration, hypothesis generation, analysis, and quality checks.
- Own end-to-end work across metrics definition, experimentation, forecasting, visualization, and decision support.
- Define measurement frameworks for Support and Risk Operations, including contact-demand forecasting, staffing models, queue health, and optimization.
- Evaluate risk-model and policy performance; monitor cohorts, bias, and drift; and connect risk decisions to product and business impact.
- Design and analyze experiments, rollouts, and policy changes affecting customer access, repayment outcomes, and product growth.
- Establish technical standards, reusable frameworks, measurement templates, and scalable tooling for the Data Science team.
- Partner with product, engineering, risk, and senior stakeholders to align data science work with broader strategy.
- Mentor junior data scientists and contribute to hiring through interviews and calibrations.
Requirements
- Bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field and 12+ years of relevant experience; or a graduate degree in one of these fields and 6–8+ years of relevant experience.
- Advanced proficiency with SQL.
- Experience building clear, decision-oriented data visualizations.
- Strong product, analytical, and statistical judgment.
- Ability to turn ambiguous product, customer, or risk questions into sound analyses and communicate tradeoffs clearly.
- Experience using AI tools to improve the speed, quality, and durability of analytical work.
Compensation
- Annual salary range: $168,300–$297,000 USD, varying by location and pay zone.
- Benefits include remote work, medical insurance, flexible time off, retirement savings plans, and family planning support.
Skills
SQL, Data Visualization, Statistics, Experimentation, Forecasting, Risk Modeling, AI Tools, Data Analysis, Statistical Modeling, Cohort Analysis
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