Data & Applied Scientist 2 at Microsoft

Data & Applied Scientist 2 Details

Feb. 15, 2019, 12:53 a.m.
Engineering
Individual Contributor
Full-Time
Redmond, WA
broader CSE team AI, IoT, NLP,
ML, AI, IoT, NLP, Image Processing data scientists looking to develop deep customer connections, grow your industry knowledge, and accelerate your mastery of emerging Azure Cognitive Services, this is a unique opportunity. Join Commercial Software Engineering to help North American Retail ISVs and S400 customers accelerate their strategy by solving real-world Data Science problems side by side with the customer/partner using the latest and greatest Azure Cognitive Services. The retail industry is experiencing massive disruption and as a result experimenting and iterating daily with the listed technologies. Our role is to accelerate strategic progress in these customers and partners by helping them: Understand what is truly possible with Azure Cognitive Services Hack side by side with the customer/partner proving out the possibilities Code with the customer/partner to deliver strategic innovation into production You will be a trusted advisor to industry leading Data Scientists, Engineers

Responsibilities Develop strategic data estate roadmaps with customers/partners. Design, develop, and deploy scalable, reliable, production Data Science solutions, with Marquee accounts. Lead customer/partner hackathons proving out strategic Cognitive Services solutions. Work closely with Microsoft service groups to influence the Cognitive Services roadmap.
Basic Qualifications: 4+ years of experience in software engineering. 2+ year of demonstrated deep capabilities cognitive services, primarily Microsoft Azure. Strong analytical skills with great verbal and written communication. Strong decision-making, conflict resolution, and follow through. Preferred Qualifications: Understanding of Cognitive Services fundamentals e.g. governance, performance, and scalability. Experience working with customers. Retail industry knowledge. Master's in data science.
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