Managing a team of skilled data scientists, the full-time remote Data Science Manager for Application Fraud will lead the development of fraud detection models and guide product innovation while acting as a technical mentor and collaborating with senior leadership. Key responsibilities Directly manage and mentor a growing team of data scientists, overseeing their development and project execution Lead planning and communication efforts with senior leadership, product, and engineering teams to ensure alignment on objectives Develop and maintain fraud detection models throughout their lifecycle, from data acquisition to production and monitoring Required qualifications 10+ years of relevant work experience with a Master's degree or 7+ years with a PhD in a related field 2-5 years of experience managing a team of data scientists, preferably in a startup environment Strong practical knowledge of machine learning and statistics, with experience in end-to-end data science development Proven ability to solve complex business problems using data science and machine learning solutions Experience writing production code and tests, with a willingness to develop deep domain expertise in fraud detection
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