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Role Responsibilities:
- Develop, validate, and optimize statistical and machine learning models, including regression and XGBoost, to detect and prevent fraud.
- Design and implement features to improve model performance and stability.
- Build tools and frameworks to support scalable model development, evaluation, and monitoring.
Qualifications:
- 2+ years experience in data science, analytics, or a related field.
- Degree in a quantitative discipline or equivalent combination of education and experience.
- Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas.
What We Offer:
- Great compensation package and bonus plan.
- Core benefits including medical, dental, vision, and matching 401K.
- Flexible work environment with ability to work remote, hybrid, or in-office.
Experian
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.