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.
