Senior Data Scientist – AI Fraud Analytics (Hybrid)

Experian; United States; Hybrid; USD 137,000 - 247,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401K with company match

Flexible work environment

Job summary

Experian is seeking an Expert Data Scientist to advance analytics and AI solutions for fraud applications within financial services and digital businesses. This individual contributor role sits in a hybrid environment and reports to the Sr. Manager of Fraud Analytics.

The ideal candidate has a Master’s degree in a quantitative field, 5+ years of data science experience, and hands-on Python and SQL skills. You will partner with product and engineering to prototype and scale innovative analytics.

Qualifications

• Master's degree in a quantitative field.
• 5+ years in data science or advanced analytics.
• Hands-on Python and SQL experience.
• Experience with large datasets and ML solutions.
• Experience in financial services, e-commerce, fraud, or data-intensive environments.

Responsibilities

• Apply advanced statistical, ML, and analytical techniques to complex problems.
• Translate business problems into hypotheses, experiments, models, and prototypes.
• Identify opportunities where data science and AI can create value.
• Shape data strategy and data assets for experimentation and scalable solutions.
• Prototype and evaluate new approaches; compare with existing methods.

Skills

Machine learning

Statistics

Data visualization

Advanced analytics

Model evaluation

Education

Master's degree in Computer Science / Data Science / Statistics

Tools

Python

SQL

Jupyter

Pandas

Scikit-learn

Job description

Experian is seeking an Expert Data Scientist to advance analytics and AI solutions for fraud applications within financial services and digital businesses. This individual contributor role sits in a hybrid environment and reports to the Sr. Manager of Fraud Analytics.

The ideal candidate has a Master’s degree in a quantitative field, 5+ years of data science experience, and hands-on Python and SQL skills. You will partner with product and engineering to prototype and scale innovative analytics.