Staff Applied Modeler, Risk
GustoDenver, Colorado, United States • San Francisco, California, United States • New York, New York, United States • Los Angeles, California, United States • Seattle, Washington, United States • Toronto, Ontario, Canada
Posted September 12, 2025
170000 - 250000 USD year
Full Time
About the Company
Gusto, formerly ZenPayroll, is a leading payroll and HR management platform serving over 400,000 businesses across the nation. Specializing in automated payroll processing, comprehensive employee benefits, and integrated human resources solutions, Gusto simplifies complex compliance requirements and empowers companies to create exceptional workplace environments. Our user-friendly platform ensures peace of mind for both employers and employees.
Job Description
Gusto is a rapidly growing online people platform helping small businesses manage their teams. They are seeking a Technical Leader (data scientist contributor) to build and deploy machine learning models for risk assessment and fraud prevention, building a model-driven risk platform. The role involves cross-functional collaboration with various teams within the Payments and Risk domain to solve complex problems and safeguard user activities.
Requirements
- 8+ years experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning
- Proven experience in the credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks
- Experience applying statistical and modeling techniques with Python, R or another statistical modeling language
- Strong programming skills with experience in data science development processes
- Excellent communication skills and ability to present results to non-technical stakeholders
Benefits
- Competitive salary
- Employee perks and benefits
