Remote Fraud Detection Data Scientist

Experian; United States; Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Great compensation package and bonus

Medical, dental, vision, and matching

Flexible work environment: remote,/hyr

Job summary

Experian in the United States is seeking a data scientist to develop ML models for fraud detection across account opening, account takeover, and identity risk.

You will translate ambiguous risk problems into hypotheses and analytical plans, work with Python and PySpark on large datasets, and collaborate with cross-functional teams. Flexible work options include remote, hybrid, or in-office setups.

Qualifications

• 3+ years of experience in data science, ML or statistics.
• Proficiency in Python and PySpark for large datasets.
• Experience building ML models for fraud detection.

Responsibilities

• Investigate large datasets, including exploratory analysis and fraud label development, to identify latest fraud patterns.
• Translate ambiguous fraud and risk problems into clear hypotheses and analytical plans.
• Develop machine learning models for fraud detection across account opening, account takeover, and identity risk.

Skills

Data science

Machine learning

Fraud analytics

Python

PySpark

Tools

Python

PySpark

Job description

Experian in the United States is seeking a data scientist to develop ML models for fraud detection across account opening, account takeover, and identity risk.

You will translate ambiguous risk problems into hypotheses and analytical plans, work with Python and PySpark on large datasets, and collaborate with cross-functional teams. Flexible work options include remote, hybrid, or in-office setups.