4 hours ago
Base Salary
$227k - $284k/yr
Responsibilities
- Build and deploy machine learning models to identify, assess, and mitigate risks.
- Research risk problems, define model requirements, develop models, deploy them with engineering partners, and monitor ongoing performance.
- Partner cross-functionally with Engineering, Design, Product, Identity, Risk, and Compliance stakeholders.
- Develop scalable frameworks and libraries for analysis and modeling, including LLM integrations.
- Identify data-driven opportunities to improve Gusto products and deliver tailored risk-management solutions.
- Present findings and recommendations to technical and non-technical stakeholders.
Requirements
- 8+ years conducting statistical analyses on large datasets, or a quantitative MS/PhD with at least 5 years of business-environment experience.
- Deep knowledge of machine learning and artificial intelligence, including LLMs and their applications.
- Experience with credit risk or fraud risk modeling using logistic regression, random forest, XGBoost, or neural networks.
- Experience with predictive modeling, anomaly detection, ensemble methods, and statistical modeling using Python, R, or another statistical modeling language.
- Strong programming skills across data analysis, model development, and deployment.
- Strong communication skills for presenting findings and recommendations to non-technical stakeholders.
- A PhD or master’s degree with equivalent quantitative experience is preferred.
- Fintech industry experience is preferred.
Benefits
- Competitive base pay, benefits, and equity in the form of RSUs.
- Employees based in Denver, San Francisco, or New York generally work from the office approximately 2–3 days per week or more depending on the role.
- Approved remote work requires a secure, reliable, and consistent internet connection.
- Regular and predictable attendance is expected for in-office, hybrid, and fully remote employees.
Tech Stack
Categories
About Gusto
Gusto builds cloud software that handles payroll, benefits, HR, and compliance for small businesses in the U.S., sold as a subscription with integrated services. Its platform runs payroll, files taxes, administers health insurance and 401(k)s, and offers tools for onboarding and time tracking. Founded in 2011 and headquartered in San Francisco, the privately held company says it serves 500,000+ small businesses nationwide.