Responsibilities

• 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.

Qualifications

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 year of relevant work experience with a PhD in Computer Science or related technical discipline.
• Strong communication skills, especially in describing technical methods to both technical and non-technical audiences.

Preferred Qualification

• MS or PhD 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.