Senior Data Scientist

Be directly responsible for the performance of enterprise merchants with household names. Research real-time new fraud patterns with our Risk Intelligence team. Improve the important components of the Signifyd Commerce Protection Platform. Communicate complex ideas to a variety of audiences, including executives. Build production machine learning models that identify fraud. Write production and offline analytical code in Python. Work with distributed data pipelines. Collaborate with engineering teams to strengthen our machine-learning pipeline. A degree in computer science or a comparable analytical field is required. 5+ years of post-undergrad work experience required and experience leading proejects and strong verbal and written communication skills are a must. Strong machine learning and statistical background and a track record of being able to deliver under pressure. Write code and review others' in a shared codebase in Python Practical SQL knowledge Design experiments and collect data Familiarity with the Linux command line