Data Scientist

As a Data Scientist at Oscilar, you will be responsible for developing and implementing advanced fraud detection models to protect our customers’ business from fraudulent activities. As an early member in the ML team you will have great impact in building out our ML stack. Responsibilities include developing and implementing advanced fraud detection models, leveraging machine learning and statistical techniques, to identify and prevent fraudulent activities across our platform. You’ll also collaborate with cross-functional teams to design and implement fraud detection systems and processes. You'll analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior, and develop data-driven insights to improve fraud prevention strategies. You will evaluate the performance of existing fraud detection models and systems, and continuously optimize and update them to adapt to changing fraud trends and tactics, stay up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning to enhance fraud prevention capabilities. Finally, you will communicate complex data analysis and model performance results to both technical and non-technical stakeholders, driving data-driven decision-making across the organization and ensure data privacy and security compliance in all aspects of fraud detection and data analysis.