Senior Fraud Analytics Engineer (Hybrid)

Experian; United States; Hybrid; USD 104,000 - 180,000; Full time

Benefits offered by this job

Great compensation package and bonus

Medical, dental, vision, 401K matching

Flexible work environment - remote, hy

Flexible time off

Job summary

Experian is seeking an Analytics Engineer who operates at the intersection of data engineering, infrastructure, and machine learning. The role focuses on developing analytics ecosystems for fraud attribute development, model building, and deployment, reporting to the Analytics and Data Science Director.

You will build scalable data pipelines, improve end-to-end modeling lifecycles, and implement CI/CD with infrastructure as code across AWS and on-prem environments.

Qualifications

• Bachelor's degree in Statistics, Applied Mathematics, Econometrics, or another quantitative discipline or equivalent experience.
• 5+ years of experience in data science, analytics, or related field.
• Proficiency in Python including PySpark, Polars, NumPy, and Pandas; familiarity with Java.
• Hands-on experience building and maintaining production systems and data pipelines.
• Experience with AWS services like EC2, EMR, and security practices.
• Knowledge of ML workflows and analytics model development.
• Experience with CI/CD pipelines and Infrastructure as Code.
• Familiarity with containerization and orchestration tools.

Responsibilities

• Build scalable backend services and data pipelines in Python for analytics workflows.
• Design and maintain systems using OO principles for readability and maintainability.
• Develop and operate platforms that support code execution, data workflows, and end-to-end modeling lifecycle.
• Implement CI/CD pipelines and manage infrastructure as code for automated deployments.
• Improve analytics environments across AWS and on-premises with security best practices.
• Monitor and troubleshoot data pipelines; drive reliability improvements.
• Support model development environments including feature engineering and deployment workflows.
• Handle large-scale data ingestion, transformation, and aggregation; create data visualizations.

Skills

Python

AWS

CI/CD

UNIX/Linux

Bash

Education

Bachelor's in Statistics/Applied Math or related

Tools

PySpark

Polars

NumPy

Pandas

Java

Airflow

AWS EC2/EMR

Job description

Experian is seeking an Analytics Engineer who operates at the intersection of data engineering, infrastructure, and machine learning. The role focuses on developing analytics ecosystems for fraud attribute development, model building, and deployment, reporting to the Analytics and Data Science Director.

You will build scalable data pipelines, improve end-to-end modeling lifecycles, and implement CI/CD with infrastructure as code across AWS and on-prem environments.