Senior Data Scientist at Microsoft

Senior Data Scientist Details

April 19, 2019, 9:14 p.m.
Individual Contributor
Redmond, WA
with product team Senior Data Scientist
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 Operation Research techniques and 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 Resource, Optimization and Field 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

Lead collaboration across multiple disciplinary teams to integrate Resource Optimization Scheduling Engine to minimize optimization changes based on resources, skills and real time traffic patterns to ship intelligent features in D365 Customer Service product family Lead ML based product feature engineering effort for demand forecasting, scheduling, capacity planning and inventory management Develop models that will enable product features to predict travel time based on traffic patterns Operationalize models in production environment and leverage the feedback loop for retraining Design and develop
Bachelor/MS/PhD degree in operation research, industrial engineering, math, statistics, physics or computer science 5 years of experience in Machine Learning, Operation Research, Artificial Intelligence and Statistics, including but not limited to, linear programming, simulation modeling and time series forecasting 3 year of experience in applying operation research techniques for predictive logistics, resource and capacity planning scenarios 2 years of experience in applying ML techniques e.g. multiple regression, deep learning, multi-classifiers for solving business/customer problems 1 year of
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