Job Descriptions

• Researches and assesses next-generation technologies for data-driven solutions • Generates innovative ideas, establishes new research directions, and shapes and executes on technical projects • Applies theoretical knowledge to solve industrial problems • Applies engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization • Works with business and engineering teams to implement robust and scalable industrial software solutions • Maintains state-of-the-art knowledge and contributes to technical discussions and reviews as an expert in related areas of responsibility • Communicates ideas, plans, and results effectively via oral and written reports - Works effectively with peers, management, operations groups, and outside organizations • Participate in technical forums and other appropriate events and conferences Essential qualifications: • Bachelor’s or Master’s degree in computer science, mathematics, physics, applied science, engineering or similar disciplines with demonstrated research capability with 5+ years of relevant experience. • Demonstrated experience in developing core machine learning algorithms in professional research and development settings

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