Data Scientist at Microsoft

Data Scientist Details

Feb. 5, 2019, 1:45 a.m.
Engineering
Individual Contributor
Full-Time
Redmond, WA
with product team Data Scientist who
Are you a Data Scientist who is passionate about infusing AI in 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 "Empowering our customers to make data driven decisions through integrated analytics and adaptive experiences". As a team, we have developed many truly innovative end-to-end solutions for Microsoft Customer Service and Support (CSS) and are now 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, engineers and product/project managers and have access

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 in a dynamic team environment Communicate and collaborate with project partners across business lines Own and drive projects from conceptualization to partner adoption.
Bachelor/MS/PhD degree in math, statistics, physics, engineering, or computer science 1 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 Text Analytics, including topic modeling, entity extraction, attribute identification, entity-relationship modeling and structure discovery 1 year of hands-on experience with various data analysis tools and statistical packages 1 years of experience in Python and/or R Preferred
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