Senior Data Scientist, Fraud Risk Detection

Experian

1d • Remote

About The Position

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. The role is part of Fraud Analytics & Commercialization, which encompasses client engagement analytics, analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms.

The Data Scientist will investigate fraud patterns and signals in complex data, develop and evaluate machine-learning models, and collaborate with senior data scientists and engineers from problem definition through feature engineering, experimentation, and deployment. The position also contributes to research, production engineering, model monitoring, client-question analysis, and communication of findings. The role is remote and reports 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, classification, and anomaly detection.
• Proficiency in Python and ability to write clean, readable, well-tested code.
• Familiarity with data science and machine-learning tools such as pandas, NumPy, and scikit-learn.
• Investigative mindset and ability to turn unusual data patterns into 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 through coursework, internship, or prior work to financial services, FinTech, payments, or another regulated or fraud-intensive industry.

Responsibilities

• Explore complex datasets 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 account opening, account takeover, and identity-risk fraud detection.
• 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.
• Medical, dental, and vision benefits.
• Matching 401(k).
• 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.
• Variable pay opportunity and comprehensive benefits package.

What This Job Offers

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