Description

You will design and implement data science solutions with a focus on fraud detection and anomaly detection.

Responsibilities

• Build supervised and unsupervised machine learning models for fraud detection.
• Apply anomaly detection techniques to identify irregular patterns in data.
• Design solutions using responsible AI principles.
• Communicate data analysis findings and technical insights to stakeholders.

Required Skills

• 10+ years of professional experience in data science.
• Expertise in Python and SQL.
• Experience with SAS for fraud detection workflows.
• Proficiency in cloud environments including AWS, GCP, or Azure.
• Strong data analysis and communication skills.
• Experience with Tableau or Power BI for data visualization.
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Key Skills

Education

Bachelor's or Master's degrees