Risk ML Data Scientist – Fraud & Credit Analytics

Square; United States; Hybrid; USD 139,000 - 245,400; Full time

Job summary

A leading financial technology company seeks an experienced Data Scientist for its Risk Machine Learning team. This role focuses on managing risk KPIs and improving fraud prevention through data analysis and machine learning solutions. Ideal candidates will have extensive analytics experience and a background in risk management. The position offers a competitive salary based on U.S. geographic zones, with pay ranging from $139,000 to $245,400 depending on experience and location.

Qualifications

• 5+ years of relevant experience or a master's degree with 3+ years of experience.
• Familiarity with fraud/risk management.
• Hands-on experience with machine learning models.

Responsibilities

• Diagnose problems and develop data-driven recommendations.
• Provide leadership in risk management strategies.
• Design and analyze A/B experiments.

Skills

Statistical analysis

Machine learning

Risk management

Data-driven solutions

SQL

Python

Looker

Education

BS/BA in a related technical field

Job description

A leading financial technology company seeks an experienced Data Scientist for its Risk Machine Learning team. This role focuses on managing risk KPIs and improving fraud prevention through data analysis and machine learning solutions. Ideal candidates will have extensive analytics experience and a background in risk management. The position offers a competitive salary based on U.S. geographic zones, with pay ranging from $139,000 to $245,400 depending on experience and location.