Senior Data Scientist, Fraud Risk Detection
Employment type
Full-time
Work setting
Remote
Location
Remote
Schedule
Day shift
Posted
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Job overview
The Senior Data Scientist, Fraud Risk Detection role is remote. Compensation is not specified. The position reports to the Senior Manager of Fraud Analytics and supports Experian’s Fraud Analytics & Commercialization function, which develops analytics and production-ready fraud solutions for financial institutions. The role investigates fraud patterns and develops features and machine-learning models that identify risky activity while limiting friction for legitimate customers. It contributes across problem definition, experimentation, model evaluation, deployment, monitoring, and communication of findings, while following data privacy, documentation, explainability, validation, and governance standards.
What you'll do
- Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals
- translate fraud questions into testable hypotheses
- help build models for account opening, account takeover, and identity risk
- evaluate technical and business metrics
- develop and validate features
- write tested code and work with engineering on production deployment
- support model and feature monitoring
- prepare analyses and communicate findings
- apply privacy, documentation, explainability, validation, and governance standards.
What we're looking for
- Skills & competencies
- senior data scientistfraud risk detectionfraud analyticsmachine learningpythonfeature engineeringmodel evaluationidentity riskremoteexperianfinancial services analyticsdata privacy
- Work arrangement
- Weekend coverage required
Benefits & perks
- Medical, dental, and vision benefits
- matching 401(k)
- flexible work environment
- flexible time off including volunteer time off, vacation, and sick time
- 12 paid holidays
- bonus plan.
Why this role
Requires 3+ years in data science, machine learning, statistical modeling, or a related quantitative field; a relevant bachelor’s or advanced degree; and Python proficiency. Familiarity with pandas, NumPy, scikit-learn, and large-scale data tools is noted. Benefits include medical, dental, vision, matching 401(k), flexible time off, and 12 paid holidays.
About the employer
Experian is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.
Additional details
- Industry sector
- 51
- Industry
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
- Occupation code
- 15-2051.00
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Listing ID: a7d57437-b83e-40cb-99fb-1c80dc77d64c