Research and develop data analytics and/or machine learning systems for business applications;
Work with domain experts to understand needs and constraints;
Work with software engineers to integrate ML solutions in business workflows;
Communicate sophisticated ML concepts to management, clients, and the business community
Research and assess next-generation technologies for inference, predictive modeling, general purpose data-driven modeling and optimization of complex systems. Demonstrate advanced working knowledge and experience with, data analytics, machine learning algorithms and optimization methods.
Generate innovative ideas, establish new technology development directions, and shape and execute on technical projects.
Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
Apply theoretical knowledge to solve industrial problems.
Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
Communicate ideas, plans and results effectively via oral and written reports. Works effectively with peers, management, operations groups, and outside organizations
May participate in the relevant technical reviews and audits of the projects
May review, mentor and coach, while define and promote usage of standards, best practices and lessons learned
Work across multiple cross-functional teams in high visibility roles to prototype end-to-end data solutions.