Fraud Analytics Lead: Drive Product Insights & Growth

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking a Head of Data Science for Fraud product analytics in the United States. You will lead a team, set a 6–12 month roadmap with Product, Engineering and GTM, and translate insights into scalable fraud capabilities.

You will mentor data scientists, drive rigorous metrics, and collaborate across functions to advance risk and detection initiatives. You will work hands-on with Python, SQL, statistics, and causal inference techniques, ensuring results meet business goals and are

Qualifications

• Proven experience managing, mentoring, and developing high-performing data scientists.
• Strong technical depth in Python, SQL, statistics, product analytics, and applied modeling.
• Excellent communication and cross-functional collaboration across Product, Engineering, ML, GTM, and stakeholders.

Responsibilities

• Lead a team responsible for customer-facing data science and Fraud product analytics.
• Set the team’s 6–12-month roadmap with Product, Engineering, and GTM.
• Assign priorities and responsibilities across the team.
• Define product metrics, data, reporting, and alerting practices.
• Guide roadmap and investment decisions using measurement results.
• Establish repeatable processes for retrospectives and proofs of concept.
• Conduct data checks, define evaluation methods, and provide clear recommendations.
• Identify recurring fraud signals and product opportunities from customer analyses.
• Partner with Product and MLEs to develop scalable fraud capabilities.
• Review analytical designs, data models, code, and model evaluations.
• Coach data scientists through expectations, feedback, performance discussions, and growth opportunities.
• Use AI-assisted analysis and development tools, ensuring results are reviewed.
• Translate customer insights into scalable product capabilities and GTM opportunities.
• Raise the bar for product metrics, analytical rigor, and data foundations across Fraud.

Skills

Team Leadership

Product Analytics

Python Programming

SQL Proficiency

Fraud Domain Expertise

Cross-Functional Collaboration

Communication Skills

Mentoring and Coaching

Tools

Dbt

Graph-Based Data Systems

Model Interpretability Techniques

Causal Inference Techniques

AI-Assisted Analysis Tools

Job description

Jobtailor is seeking a Head of Data Science for Fraud product analytics in the United States. You will lead a team, set a 6–12 month roadmap with Product, Engineering and GTM, and translate insights into scalable fraud capabilities.

You will mentor data scientists, drive rigorous metrics, and collaborate across functions to advance risk and detection initiatives. You will work hands-on with Python, SQL, statistics, and causal inference techniques, ensuring results meet business goals and are