Architect of Efficacy: AI Fraud & AML Scientist

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

Benefits offered by this job

Comprehensive medical, dental, and vision insurance coverage

401(k) retirement savings plan

Flexible Time Off (FTO) plus paid holidays

Opportunities for research and professional advancement

Regular team-building events

Job summary

DataVisor Inc. in Mountain View, California is seeking a hands-on Data Scientist to architect the efficacy of AI-powered fraud and AML solutions. In this role, you'll design detection strategies, collaborate closely with various teams, and build complex fraud detection models.

The ideal candidate holds a Master's degree in a relevant field and has a year of experience in Data Science, with proficiency in Python and SQL. Competitive salary and benefits including medical insurance and flexible time off are offered.

Qualifications

• Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
• Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS).

Responsibilities

• Design, back-test, and optimize statistical baselines and machine learning strategies.
• Analyze large-scale data to identify high-risk device fingerprints and patterns of organized fraud.
• Create generalized scoring models that deliver immediate value to new clients.
• Test and validate automated fraud detection logic.
• Collaborate to explore and implement state-of-the-art machine learning capabilities.

Skills

Python (Pandas, NumPy, Scikit-learn)

Statistical Modeling

SQL

Feature Selection

Performance Evaluation

Education

MS or MS in Computer Science, Statistics, Mathematics, Engineering

Job description

DataVisor Inc. in Mountain View, California is seeking a hands-on Data Scientist to architect the efficacy of AI-powered fraud and AML solutions. In this role, you'll design detection strategies, collaborate closely with various teams, and build complex fraud detection models.

The ideal candidate holds a Master's degree in a relevant field and has a year of experience in Data Science, with proficiency in Python and SQL. Competitive salary and benefits including medical insurance and flexible time off are offered.