AI Fraud Solutions Scientist — Real-Time Defenses Architect

DataVisor; Mountain View (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement savings plan

Flexible Time Off (FTO)

Paid holidays

Opportunities for professional advancement

Regular team-building events

Job summary

DataVisor in Mountain View is seeking a Data Scientist to enhance their AI-Powered Fraud and AML Solutions. This hands-on role involves developing detection strategies and collaborating with various teams to translate complex fraud patterns into actionable defenses.

The ideal candidate has an MS in a related field and a year of experience in data science. Key skills required include proficiency in Python and SQL, alongside a solid understanding of statistical modeling. The position offers a competitive salary and comprehensive benefits.

Qualifications

• Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
• Solid foundation in statistical modeling.
• Familiarity with Fraud Detection, Credit Risk, or Trust & Safety.

Responsibilities

• Design, back-test, and optimize statistical baselines and machine learning strategies.
• Analyze large-scale data within our global intelligence network.
• Create generalized scoring models for immediate client protection.
• Validate automated fraud detection logic for safety and transparency.
• Collaborate on state-of-the-art machine learning capabilities.

Skills

Python (Pandas, NumPy, Scikit-learn)

SQL

Statistical modeling

Feature selection

Performance evaluation (Precision/Recall, AUC, KS)

Education

MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline

Job description

DataVisor in Mountain View is seeking a Data Scientist to enhance their AI-Powered Fraud and AML Solutions. This hands-on role involves developing detection strategies and collaborating with various teams to translate complex fraud patterns into actionable defenses.

The ideal candidate has an MS in a related field and a year of experience in data science. Key skills required include proficiency in Python and SQL, alongside a solid understanding of statistical modeling. The position offers a competitive salary and comprehensive benefits.