Senior Fraud Data Scientist (Remote)

Dataroles; Northern (KY); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Great compensation package and bonus

Medical, dental, vision, 401K

Remote/hybrid or in-office options

Volunteer time off; holidays

Benefits portal

Job summary

Experian is seeking a Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. You will collaborate with senior data scientists and engineers from problem definition through feature engineering, experimentation, and deployment.

The role emphasizes Python, ML, and production-ready solutions, with a remote setup reporting to the Sr. Manager of Fraud Analytics.

Qualifications

• 1+ years of experience in data science, ML, or quantitative field.
• Bachelor's or advanced degree in a quantitative discipline.
• Foundation in supervised learning and model evaluation.
• Proficiency in Python with clean, readable code.

Responsibilities

• Explore complex datasets to identify fraud patterns and signals.
• Translate fraud questions into testable hypotheses with senior scientists.
• Build ML models for fraud detection across account opening, takeover, and identity risk.
• Evaluate models using precision, recall, and business metrics.
• Write clean code and bring models into production.
• Monitor models and support client questions with research.

Skills

Python

Pandas

NumPy

Scikit-learn

Investigative mindset

Feature engineering

Education

Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science

Tools

PySpark

AWS

Google Cloud

Azure

Databricks

Snowflake

Job description

Experian is seeking a Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. You will collaborate with senior data scientists and engineers from problem definition through feature engineering, experimentation, and deployment.

The role emphasizes Python, ML, and production-ready solutions, with a remote setup reporting to the Sr. Manager of Fraud Analytics.