Senior Data Scientist - Fraud Detection

What role you will play in team: Lead the development and implementation of machine learning models for fraud detection.

What you will do: You will design, build, and deploy models to identify and prevent fraudulent activities.

Key responsibility:

• Design, develop, and implement machine learning models for fraud detection.
• Analyze large datasets to identify patterns and anomalies.
• Develop and maintain data pipelines for fraud detection.
• Collaborate with engineering and product teams to integrate models into production systems.
• Monitor model performance and make adjustments as needed.
• Stay up-to-date on the latest advancements in fraud detection techniques.

Required Qualification and Skills:

• Master's degree or PhD in Computer Science, Statistics, or a related field.
• 5+ years of experience in data science, with a focus on fraud detection.
• Proficiency in Python or R.
• Experience with machine learning algorithms (e.g., anomaly detection, classification).
• Strong analytical and problem-solving skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for career advancement.
• Collaborative and supportive work environment.
• Work from home options.

A Day in the Life: You will review model performance, work with data, build and improve fraud detection models.