Experian is a global data and technology company that powers opportunities for people and businesses. The Senior Data Modeler will help develop fraud detection models and features, investigate fraud patterns, evaluate machine learning models, and support production deployment. The role also involves collaborating with data scientists and engineers, monitoring models, communicating findings, and applying standards for privacy, explainability, validation, and governance.
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 both technical and business metrics, such as 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 set up model and feature monitoring, and support research on related client questions
Help prepare analyses and communicate findings to both technical and nontechnical audiences
Apply Experian's standards for data privacy, model documentation, explainability, validation, and governance
Qualification
Required
1+ 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, with 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 the ability to move from unusual data patterns to testable hypotheses
Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools
Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry, through coursework, internship, or prior work
Preferred
Benefits
Bonus plan
Medical, dental, and vision benefits
Matching 401K
Flexible work environment, with the ability to work remote, hybrid, or in-office
Flexible time off including volunteer time off, vacation, sick leave, and 12 paid holidays
Variable pay opportunity
Comprehensive benefits package
Experian is a data analytics and consumer credit reporting company.
