Gusto
1001-5000 employees
Human Resources
Payroll
SaaS
Financial Services
Software
About Gusto
Gusto is a leading cloud-based platform that provides small and medium-sized businesses with comprehensive payroll, benefits, and human resource management solutions. Founded in 2011, the company aims to simplify the complexities of running a business by offering an all-in-one platform that automates payroll processing, employee onboarding, benefits administration, and compliance management. Gusto's mission is to create a world where work empowers a better life by helping businesses take care of their teams with ease and confidence. The platform integrates with various accounting and time-tracking tools, making it a popular choice for businesses seeking streamlined HR and financial operations.
2 months ago
Staff Applied AI and Machine Learning Engineer, Payments & Risk
Full-time
Senior
Data Scientist
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Description
- Gusto’s Data Science team leverages rich datasets to guide product decisions, operating full-stack with analysis, modeling, and deployment of predictive tools.
- The role focuses on driving machine learning and AI in payments and risk, building a risk platform to safeguard users’ activities and funds.
- Responsibilities include building and deploying models to assess risks, conducting research, developing scalable frameworks, and identifying new data opportunities.
- The candidate will work with engineering, product, design, and compliance teams, and will use ML and AI to create secure, reliable platforms.
- The role requires collaboration, communication, and technical leadership to improve Gusto’s products and risk management strategies.
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Requirements
- 8+ years of experience conducting statistical analyses on large datasets
- Deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs)
- MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS/Data Science Bootcamp graduate with at least 8 years of relevant experience
- Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost, or neural networks
- Strong understanding of AI-based approaches and LLM applications
- Experience applying statistical and modeling techniques using Python, R, or similar languages
- Strong programming skills across all phases of data science development
- Excellent communication skills for non-technical stakeholders
- PhD or Master’s plus relevant experience is a plus
- Experience in the Fintech industry is a plus
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Benefits
- Total Rewards philosophy
- Support for small businesses including payroll, health insurance, 401(k)s, and HR
- Workplace that celebrates diversity and inclusion
- Flexible work arrangements with some office presence in Denver, San Francisco, and New York City
- Remote work options with reliable internet required when working outside office locations
- Competitive salary packages based on location and experience
- Equal opportunity employer committed to diversity and inclusion
- Reasonable accommodations for disabilities and veterans
- Protection of personal information and privacy policies