Data Science Manager - Risk

Candidates must possess an advanced degree in a relevant field and have over 4 years of experience with data processing and machine learning using a Python-based stack. They should also have more than 2 years of experience growing and leading high-functioning, diverse technical teams through coaching, training, and career development. Fluency with machine learning algorithms and AI solutions, including deployment and monitoring in a real-time production environment, rapid prototyping, and experimentation, is essential. Excellent communication and interpersonal skills, including facilitation for group decision-making, are required, along with experience collaborating with management in product, engineering, and operations. Experience in a highly collaborative, remote-first environment and shipping code to production frequently is also necessary. Bonus points for direct experience in content moderation, fraud, and spam detection, or experience with DBT, Airflow, Sagemaker ecosystem, and Tableau.