Job Summary
The role involves developing and assessing machine learning models aimed at detecting fraudulent activities while ensuring a seamless experience for genuine users. Collaboration with engineering teams for model deployment, along with the communication of results to both technical and non-technical audiences, is a key aspect of this position.
Responsibilities
- Develop and evaluate machine learning algorithms to pinpoint fraud patterns.
- Minimize customer inconvenience for legitimate users during the identification process.
- Work closely with engineering teams for effective implementation of models.
- Present analytical findings to both technical teams and broader, non-technical stakeholders.
Qualifications
- A minimum of 3 years of experience in data science or a related quantitative discipline.
- A bachelor’s degree or higher in a relevant field.
- Strong programming skills in Python.
- Solid understanding of supervised learning techniques and statistical modeling.
Experian provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
