Fraud Analytics Data Scientist (Hybrid/Remote)

Experian; Costa Mesa (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Great compensation package

Medical, dental, vision benefits

401K matching

Flexible work environment

Paid holidays

Job summary

Experian is seeking a data scientist to investigate fraud patterns, build and validate machine learning models, and translate insights for technical and non-technical audiences. You’ll collaborate with senior data scientists and engineers across the model lifecycle.

The role emphasizes production-ready code, data privacy, and governance, with a strong emphasis on collaboration in a hybrid hub setup across Costa Mesa and other U.S. locations.

Qualifications

• Bachelor's degree in computer science, statistics, mathematics, economics, engineering, data science, or related quantitative field.
• 1+ years of professional experience in data science, ML, or analytics.
• Strong foundation in supervised learning, model evaluation, feature selection, and statistical inference.
• Proficiency in Python with clean, testable code.
• Familiarity with pandas, NumPy, and scikit-learn.
• Experience with fraud detection, risk modeling, or classification problems.
• Familiarity with cloud data tools such as AWS, GCP, Azure, Databricks, Snowflake.

Responsibilities

• Explore large datasets to identify fraud patterns and signals with guidance from seniors.
• Translate fraud questions into testable hypotheses and analytics approaches.
• Build ML models for fraud detection across account opening, takeover, and identity risk.
• Evaluate models using precision, recall, fraud capture rate, false positives, and friction.
• Develop and validate features using identity, transactional, and behavioral data.
• Write clean, well-tested code and collaborate with engineering to productionize models.

Skills

Python

Pandas

NumPy

scikit-learn

SQL

Model evaluation

Feature engineering

Experimentation

Data storytelling

Communication

Education

Bachelor's degree in CS/Math/Stats or related

Tools

PySpark

AWS

Databricks

Snowflake

Job description

Experian is seeking a data scientist to investigate fraud patterns, build and validate machine learning models, and translate insights for technical and non-technical audiences. You’ll collaborate with senior data scientists and engineers across the model lifecycle.

The role emphasizes production-ready code, data privacy, and governance, with a strong emphasis on collaboration in a hybrid hub setup across Costa Mesa and other U.S. locations.