Data & Applied Scientist at Microsoft

Data & Applied Scientist Details

Dec. 6, 2018, 6:42 p.m.
Individual Contributor
Redmond, WA
Applied Scientist capable
We are looking for an Applied Scientist capable of using Machine Learning and Data Science techniques to design and implement state-of-the-art solutions to unique and challenging problems. As an Applied Scientist in our team you will identify impactful problems, design and run experiments, investigate new algorithms, and find new ways of optimizing experience of Azure customers. About You - thrive in ambiguous and fast pacing environments and are able learn new concepts quickly. You possess strong communication skills and work effectively with both business and technical partners. You quickly gain a deep understanding of the problem you are solving and identify and evaluate potential solutions. You are self-motivated and can work without supervision.

Use machine learning and analytical techniques to solve business problems in cloud computing domain. Analyze and extract relevant information from both structured and unstructured Azure data to help optimize experience of internal and external customers. Design, develop, evaluate and deploy innovative predictive models and success metrics. Partner with software engineering and product teams to drive real-time model deployments and new feature improvements. Mentor engineers and scientists in the use of ML techniques data science best practices. You will lead the design and development of the key
Required Qualifcations: 2 years experience as a Data Scientist or Applied Scientist Preferred qualifications: Masters degree in Computer Science Experience working effectively with engineering teams Experience using R, Python, SQL. Experience distilling informal customer requirements into tangible problem definitions Excellent verbal and written communication and presentation skills, ability to convey technical concepts and their implications to non-experts Peer reviewed scientific contributions in premier journals and conferences Knowledge of and some and practical experience in one or more of
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