Data and Applied Scientist at Microsoft

Data and Applied Scientist Details

June 17, 2019, 9:53 p.m.
Individual Contributor
Redmond, WA
Applied AI team Applied Scientist, CO+I
Data and Applied Scientist, CO+I Applied AI team We are the Cloud Operations + Innovation Applied Artificial Intelligence Team (CAAI), part of the larger Cloud Operations + Innovation organization. Our mission is to use the most cutting-edge AI technology to further innovate our global data centers, one of the most important components of the Microsoft Azure cloud business. Our team includes applied data scientists, engineers and data analysts and we build 24x7 AI production systems, using machine learning (ML) and natural language processing (NLP). These systems are making real-time decisions for data centers around the world. We are also conference presenters teaching the most state-of-art NLP methods. We have a great passion for applied AI and believe our work will shape the future of global data centers. Our team is expanding! We need talented data scientists to join us to generate business insights, build machine learning models, and apply NLP or computer vision methods to solve the

Work with a team of data scientist, engineers and data analysts to contribute to the AI / ML systems. Do data mining and provide new insights to guide business and influence operations. Collaborate with other teams and create data science, ML or AI solutions for a diverse set of problems. Contribute to the CAAI knowledge graph by enriching the system with new data sources and features.
Knowledge, experience and skills: Advanced degree in statistics, computer science or other highly related quantitative fields. Solid foundation in statistics and machine learning. 3+ years using applied data science to solve real-world problems. 2+ years' work or research experience with machine learning or natural language processing. Strong skills in Python, R, and SQL. Excellent interpersonal communication and collaboration skills Preferred, not required: 3+ years' experience in insight discovery and building features for business AI systems is a strong plus. 1+ years' experience with terabyte-level
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