Job Summary
Use advanced statistics and machine learning to create AI solutions for fraud detection and other digital business challenges. Partner with product and engineering colleagues to turn business priorities into practical, scalable prototypes and strategies informed by data.
Responsibilities
- Apply statistical methods and machine learning techniques to develop AI-driven solutions for fraud detection and digital business needs.
- Work with product and engineering teams to understand business requirements and shape them into scalable prototypes.
- Develop data-driven strategies that support business goals and address complex problems.
Qualifications
- Bachelor’s degree in a quantitative discipline.
- At least five years of professional experience in data science or machine learning.
- Proficiency in Python and SQL.
- Experience working with large datasets and modern cloud analytics platforms.
