Are you a Senior Data Scientist who is passionate about infusing AI into Microsoft Dynamics 365 apps? Does the challenge of applying state-of-the-art ML algorithms to solve real-world business problems sound exciting? Would you like to acquire hands-on experience of working with product teams to ship products and make business impact? If you answered "yes" to these questions, we want to talk to you about joining the Data Analytics (DA) team, under Customer Care Application (CCA) and Business Application Group (BAG). Our mission is to empower our customers to make data driven decisions through integrated analytics and adaptive experiences. We are responsible for designing and developing ML based solutions to support product teams in CCA Customer Service vertical. You will work with a diverse group of data scientists, software engineers and product/project managers, and have access to broad data science expertise and tools to build awesome products for Dynamics 365 customers.
Lead collaboration across multiple disciplinary teams to integrate speech recognition technology with sentiment AI capability to ship call center intelligence features in D365 Customer Service product family Lead feature engineering effort to design features from unstructured data Develop and apply Machine learning algorithms to identify root causes of specific customer experiences from support channels Operationalize models in production environment and leverage the feedback loop for retraining Design and develop intelligent solutions to provide actionable insights from data Be able to work efficiently
Bachelor/MS/PhD degree in math, statistics, physics, engineering, or computer science 5 years of experience in Machine Learning, Artificial Intelligence and Statistics, including but not limited to, classification, regression, optimization, deep learning, reinforcement learning and experimentation 1 year of experience in Speech Recognition, including speech to text transcription, acoustic feature generation, acoustic and language model optimization 3 year of experience in Text Analytics, including topic modeling, entity extraction, attribute identification, entity-relationship modeling and structure