Data Scientist at Microsoft

Data Scientist Details

Dec. 12, 2018, 6:06 p.m.
Individual Contributor
Bellevue, WA
Market Intelligence team Market Intelligence team
The Market Intelligence team in the Business Applications Group (within Cloud + AI division) is hiring a passionate Data Scientist to help build AI driven business applications that transform the way Marketing and Market Research groups work today. This is a fun and fast paced environment, where data scientists are empowered to innovate. This is a great opportunity to work on something highly strategic to Microsoft, and an opportunity to directly impact high profile enterprise customers. • Do you love working with large complex data sets, like Search, Web, Social, LinkedIn etc.? • Do you enjoy developing Machine Learning models using Python/R with in-house or open source libraries to deliver meaningful insights? • Do you want to learn and apply Deep Learning techniques with toolsets such as CNTK, TensorFlow and PyTorch? If you answer "YES" to these questions, you would love to work here. This is a rare opportunity to join this ambitious project in the early stage with tremendous scope to

Our ideal candidate will: Have an ability to mine large data sets with Cosmos, Hadoop or Spark like technologies Transform data into innovative features/signals that can improve a machine-learning task Build machine learning models and evaluating their quality on real life scenarios Prototype new approaches and develop new algorithms using NLP and ML techniques Work with other data scientists, engineers, UX experts to deliver a robust solution to the customer Have an ability to self-learn new techniques from textbooks and research papers Never compromise on engineering excellence and delivering
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or related fields At least 2 years of experience (or research projects in lieu of industry experience) in the areas of data science, machine learning, information retrieval or natural language processing Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.) Demonstrable skills and experience using SQL or NoSQL data stores Excellent verbal and written communication skills Ability to meet Microsoft, customer and/or government security screening
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