Data Scientist 2 at Microsoft

Data Scientist 2 Details

Feb. 13, 2019, 7:24 p.m.
Individual Contributor
Redmond, WA
Holographic Processing Unit
In Cognition, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that's scientists "meeting" on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we're incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We're a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there has to be a better way. If you do too, we need you! We are looking for an experienced Data Scientist who's also highly capable in Human Computer Interaction, User Experience Design, and understanding human performance. In this role, you'll help guide our experience engineering and design teams through

• Plan and execute multi-method Data Science and analysis with the US Military, discovering needs, activating those needs into actionable, measurable outcomes that solve human problems, leveraging Mixed Reality and AI experiences. • Engage directly with US Military, DoD Civilian personnel, and Microsoft engineers, to plan, execute, measure and report findings and insights via system telemetry and instrumentation, quantitative data analysis and visualization, and combining data science experiments with qualitative user juries and touch points. • Partner closely with our Software Engineering and
• 5+ years in Data Science and quantitative research, Math/Statistics, HCI / Human Factors, and customer data collection and analyses methods, activities, practices, and planning. • Experience working through complete, complex product cycles with an understanding and application of human-centered design and prototyping approaches. • Strong understanding and experience in the scientific method as it applies to commercial and government experience development, design of experiments, and creative research approaches. • A strong background in statistics and machine learning – you should be self-directed
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