Position Details
About this role
This role involves leading analytics initiatives to detect and prevent fraud, utilizing statistical and machine learning models. The data scientist will develop insights and predictive tools to support fraud mitigation strategies.
Key Responsibilities
- Perform advanced data analytics
- Develop machine learning models
- Create data visualizations
- Collaborate with stakeholders
- Drive fraud detection strategies
Technical Overview
The technical environment includes Python, R, SAS, and data visualization tools. The focus is on sophisticated analytics, natural language processing, and predictive modeling within a banking context.
Ideal Candidate
The ideal candidate is a mid-level data scientist with expertise in machine learning, statistical modeling, and data visualization. They should have experience working with structured and unstructured data and be capable of engaging stakeholders effectively.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or R, No data science background, Inability to perform advanced analytics
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