Principal Research Scientist - AI & Data Science

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.

Domain expert knowledge in multiple areas of the following: programming, software engineering / UI & UX / multivariate statistics (parametric/non-parametric) / machine learning /…

Critical and innovative thinking coupled with strong analytical skills focused on experimentation and hypothesis testing.

High proficiency in Python programming (without AI assistance) and working with large-scale databases (e.g., SQL, Hadoop, pySpark, etc), statistical packages (Pandas, NumPy, Scikit-Learn)…

Able to work in virtual environment and comfortable with git (Github) processes, including PRs and code conflict resolution.