Associate Data Scientist (Fraud Strategy)

Location: San Francisco, United States; hybrid work model with in-office attendance required Tuesdays, Wednesdays, and Thursdays; remote placement will not be considered. Local hours (PT) are required, with flexibility across time zones when necessary. Relocation may be offered based on the actual job level.

Base salary: $125,000–$145,000 annually, plus potential equity and annual bonus.

Company

hirify.global provides focused financial products and mobile-first services designed to help people make financial progress through fairness, simplicity, and clear terms.

What you will do

• Analyze large and complex datasets with SQL and Python to identify fraud patterns, emerging risks, and decision-making opportunities.
• Support fraud detection strategies, rules, and models based on data analysis and business requirements.
• Monitor fraud trends, loss metrics, strategy performance, key indicators, model performance, data accuracy, and population behavior.
• Build and maintain reliable queries, dashboards, reporting, and repeatable monitoring processes.
• Evaluate internal and external data sources, features, and analytical techniques for predictive value, data quality, and practical application.
• Partner with Fraud, Risk, Product, Technology, and Operations teams to translate business questions into analytical approaches and support implementation.

Requirements

• 2+ years of experience in data science, fraud analytics, decision science, or a related analytical role.
• Bachelor’s degree or higher, or an equivalent combination of education and experience.
• Hands-on SQL and statistical programming experience, such as Python, working with large datasets and producing reproducible analysis.
• Working knowledge of statistical analysis, data visualization, and model or strategy performance measurement.
• Ability to translate analytical findings into clear recommendations for technical and business audiences.
• Ability to handle sensitive data with sound judgment and balance speed with accuracy, explainability, and risk.
• Practical familiarity with AI tools, including their strengths and limitations, and the judgment to apply them to real-world analytical problems.
• Ownership, thoughtful questioning, receptiveness to feedback, collaboration, adaptability, curiosity, integrity, and a problem-solving mindset.

Nice to have

• Experience in fraud, credit risk, financial services, e-commerce, or another high-volume digital environment.
• Experience with Tableau or another business intelligence and visualization platform.
• Exposure to feature engineering, predictive modeling, model monitoring, or experimentation.

Culture & Benefits

• Hybrid, in-person collaboration model with travel to hirify.global offices or other locations as needed.
• Medical, dental, and vision plans for employees and families.
• 401(k) match, health and wellness programs, and flexible time off policies for salaried employees.
• Up to 16 weeks of paid parental leave.
• Reasonable accommodations are available for qualified individuals with disabilities.
• AI tools may record, transcribe, and summarize selected interviews; candidates may opt out before scheduled interviews.

Hiring process

• Current hirify.global employees must apply through their internal Workday account.
• For selected roles and locations, interviews may be recorded, transcribed, and summarized using AI tools; opting out does not affect the application.