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.