Responsibilities

• Research and develop new methodologies, research directions, prototype solutions, and quantify their improvement with rigorous scientific methods in the ML/AI space.
• Own all the phases of an R&D project or process improvement, including conceptualization, design, prototyping, documentation, deployment, and monitoring.
• Work closely and collaborate with experienced teams in operations, technology, other data scientists, and internal stakeholders during all phases of a project.
• Deliver high quality, academic publication-level, documentation of new methodologies and best practices.
• Engage with stakeholders on objectives, scope, execution, data exchange, and outcomes for assigned projects.
• Participate in and actively contribute to multiple projects simultaneously.

• Doctorate (Ph.D.) Degree in Data Science, Mathematics, Statistics, E...