Fraud Risk Data Scientist - Real-Time ML/AI Analytics

5 Star Recruitment; San Jose (CA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading recruitment firm is seeking an Associate Fraud Risk Data Scientist in San Jose to design and develop machine learning models to detect and mitigate fraud. This hybrid role requires 2-6 years of experience with machine learning and AI, along with strong proficiency in SQL, Python, and data visualization tools like Tableau. The ideal candidate will work closely with cross-functional teams to implement data-driven AI solutions and make impactful business recommendations to stakeholders.

Qualifications

• 2-6 years of experience in machine learning/AI, data science, and risk analytics.
• Proficiency in data visualization.
• Experience working with large datasets.

Responsibilities

• Design and develop machine learning models to mitigate fraud.
• Support cross-functional teams in using models effectively.
• Drive AI transformation in risk management.

Skills

Machine Learning

Data Science

Project Management

Strong Communication Skills

Education

Bachelor's/Master's degree in Data Science or related field

Tools

SQL

Python

AWS

Tableau

Excel

Job description

A leading recruitment firm is seeking an Associate Fraud Risk Data Scientist in San Jose to design and develop machine learning models to detect and mitigate fraud. This hybrid role requires 2-6 years of experience with machine learning and AI, along with strong proficiency in SQL, Python, and data visualization tools like Tableau. The ideal candidate will work closely with cross-functional teams to implement data-driven AI solutions and make impactful business recommendations to stakeholders.