Medallia Company Profile

Research Scientist - Machine Learning, AI & NLP at Medallia (Palermo, Argentina)

About the Employer

Job Description

Data Science at Medallia brings together researchers, engineers, and designers, to build adaptive, collaborative technologies that are focused on enabling action at all levels of an organization. We drive both platform and product development so that our customers can interact with their customers in satisfying and emotionally connected ways, regardless of scale. The Role: As a Research Scientist on the Data Science team, you will lead cutting-edge research in artificial intelligence and machine learning applications, in the areas of natural language understanding/generation, action recommendation and representation learning. Partner with engineering, design and product teams to deliver solutions to orchestrating, understanding and improving customer experiences in real time. You will be joining a team of brilliant engineers responsible for building Medallia’s next generation Customer Experience Cloud platform using micro service-oriented architecture. Minimum Qualifications: BA/BS degree in Computer Science or related technical discipline or equivalent practical experience. 3 years of work or educational experience in Machine Learning or Artificial Intelligence. Highly proficient with one or more general purpose programming languages, e.g. Java, C/C++ or Python, and detailed working knowledge of the packages and frameworks associated with data wrangling, analysis, and machine learning. 5 years of relevant work experience, including software development experience, or 2 years of relevant work experience with a Ph.D. in Computer Science or related technical discipline. Strong communication skills, especially in describing technical methods to both technical and non-technical audiences. Preferred Qualifications: MS or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline. Extensive experience in one or more of the following areas: Natural Language Processing, text understanding, classification, pattern recognition, and/or recommendation/ranking systems; Representation learning for unstructured data types (images, text) or multiple data sources, e.g. EMR/EHR. Knowledge and experience working on microservices based SaaS applications. Experience with highly performant, available, and scalable enterprise-grade applications. Extensive Experience with agile software development process.