Senior Data Scientist, Fraud Risk Detection

Experian • Madison, MS

2d • $92,562 - $160,440 • Remote

About The Position

Experian is seeking a Data Scientist to build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. The role is part of Fraud Analytics & Commercialization, which includes client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. The successful candidate will investigate fraud patterns, develop features, and train and evaluate machine-learning models. Working with senior data scientists and engineers, they will contribute from problem definition through feature engineering, experimentation, and deployment, translating theoretical principles into production-ready solutions. This is a remote role reporting to the Sr. Manager of Fraud Analytics.

Requirements

• At least 3 years of experience in data science, machine learning, statistical modeling, or a related quantitative field.
• Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline.
• Foundation in supervised learning, model evaluation, feature selection, statistical inference, and techniques such as classification and anomaly detection.
• Proficiency in Python, including the ability to write clean, readable, and well-tested code.
• Familiarity with common data science and machine-learning tools such as pandas, NumPy, and scikit-learn.
• Investigative mindset and ability to move from unusual data patterns to testable hypotheses.

Nice To Haves

• Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, or Azure, Databricks, Snowflake, or other large-scale data tools.
• Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry through coursework, an internship, or prior work.

Responsibilities

• Explore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals.
• Work with senior data scientists to translate fraud questions into testable hypotheses.
• Help build machine-learning models for fraud detection across account opening, account takeover, and identity risk.
• Evaluate models using technical and business metrics, including precision, recall, fraud capture rate, false-positive rate, and customer friction.
• Develop and validate features using identity, transactional, behavioral, and other available data sources.
• Write clean, well-tested code and work with engineering to bring models and features into production.
• Partner with the score monitoring team to help establish model and feature monitoring and support research on related client questions.
• Prepare analyses and communicate findings to technical and nontechnical audiences.
• Apply Experian standards for data privacy, model documentation, explainability, validation, and governance.

Benefits

• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401K.
• Flexible work environment, with the ability to work remotely, hybrid, or in-office.
• Flexible time off including volunteer time off, vacation, sick time, and 12 paid holidays.
• 20 days of Flexible Time Off.
• Variable pay opportunity and a comprehensive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior