Data Scientist, Risk & Fraud

Job Summary

A company is looking for a Data Scientist, Risk & Fraud.

Key Responsibilities

• Apply statistical analysis and machine learning techniques to build predictive models and support data-driven decision-making
• Investigate data trends and assist in diagnosing issues through exploratory data analysis
• Collaborate with product, engineering, and business teams to translate problems into data science solutions

Required Qualifications

• 2+ years of experience in data science roles, preferably in risk & fraud
• A technical degree in data science, computer science, analytics, or AI
• Intermediate knowledge of SQL and experience with DBT
• Strong Python programming skills with knowledge of machine learning packages
• Experience with web analytics tools such as GA4, Amplitude, or Mixpanel