Staff Machine Learning Engineer - Risk

Gusto is seeking a technical leader to drive machine learning and AI initiatives within the identity and risk domains. In this individual contributor role, you will build a model-driven risk platform to safeguard user activities and money across the Gusto Ecosystem. You will collaborate cross-functionally with Engineering, Product, Design, and Operations to design, deploy, and maintain predictive models.

• 8+ years of experience conducting statistical analyses on large datasets with deep domain knowledge in machine learning and artificial intelligence, or a relevant MS/PhD with at least 5 years of experience, or BS/Data Science Bootcamp with 8+ years of experience in a business setting
• Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost, or neural networks
• Experience applying statistical and modeling techniques using Python, R, or another statistical modeling language
• Strong programming skills covering all phases of the data science development process from analysis to deployment
• Excellent communication skills to deliver findings and recommendations to non-technical stakeholders

An experienced data scientist or machine learning engineer with a strong background in risk modeling and statistical analysis who wants to build secure platforms using AI tools.

Candidates apply on the employer's official site.