Data Scientist Tamara 

We are seeking a highly skilled and motivated Data Scientist for our Fraud team. As a Data Scientist specializing in Fraud, you will be at the forefront of protecting Tamara and its users from fraudulent activities. Your primary focus will be on the end-to-end development of real-time features and sophisticated AI/Machine Learning models to enhance our fraud detection and prevention capabilities for both consumer and merchant transactions.

Leveraging your expertise in data analysis, predictive modeling, and machine learning, you will be responsible for transforming complex datasets into actionable insights and automated decisions. You will collaborate closely with engineering, product, and operations teams to build and deploy robust, scalable, and real-time fraud prevention systems. Your work will directly contribute to minimizing financial losses and maintaining the integrity of our platform, ensuring a trustworthy experience for our customers and partners.

Your Responsibilities

• Design, develop, and deploy real-time features and machine learning models to detect and prevent fraud across consumer and merchant transactions.
• Utilize advanced statistical and machine learning techniques to identify fraudulent patterns, trends, and anomalies in large, complex datasets.
• Collaborate with data engineers to build and maintain scalable and efficient data pipelines for model training and real-time feature generation.
• Work closely with the fraud operations team to understand emerging fraud tactics and incorporate their feedback into model improvements.
• Partner with product and engineering teams to integrate fraud models into our production systems and decision-making workflows.
• Continuously monitor and evaluate the performance of fraud models, conducting A/B testing and making necessary adjustments to optimize their effectiveness.
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders in a clear and concise manner.
• Stay up-to-date with the latest industry trends, technologies, and best practices in fraud detection and machine learning.