Data Scientist

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.

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.

Your Expertise

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 3+ years of hands-on experience in a data science role, with a focus on fraud detection, risk management, or a related area.
• Proven experience in developing and deploying machine learning models in a production environment, particularly for real-time applications.
• Strong proficiency in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Advanced knowledge of SQL for data extraction and manipulation.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP, Azure) is highly desirable.
• Solid understanding of machine learning algorithms, including but not limited to logistic regression, gradient boosting, random forests, and neural networks.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team.
• Fluency in English is required.

Location: Dubai, United Arab Emirates

All qualified individuals are encouraged to apply.