New 
Applied Scientist II and Senior Applied Scientist (Multiple Positions) - Microsoft Excel team
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 05, 2025 | |
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OverviewApplied Scientist II and Senior Applied Scientist (Multiple Positions) - Microsoft Excel teamDo you want to be part of a team which delivers innovative AI features across flagship products? Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly competitive market sound exciting to you? If so, the Microsoft Excel team has great opportunities for you. We are seeking Applied Scientist II's and Senior Applied Scientist with a proven track record of shipping at-scale intelligent systems. You will architect, design and ship intelligent systems assisting users writing code for Microsoft Excel using state-of-the-art techniques in large language models, deep learning, program synthesis and information retrieval. You will collaborate with world-class engineers in a fast-paced, dynamic and learning-oriented environment, creating AI applications that solve real-world problems for customers around the world. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesConduct rigorous analysis to evaluate the performance of intelligent applications, identify areas for improvement, and iterate. Executing projects from design through implementation, experimentation and finally shipping to our users. Integrate experiments into production systems by implementing them and maintain and optimize their performance. Understand broad areas of research and techniques, as well as a knowledge of industry trends to apply this in the product. Prepare data for analysis by applying quality and technical constraints. Review data and suggest data to be included and excluded and address data quality problems. Assist with the development of usable datasets for modeling purposes and support the scaling of product ideas. Embody ourCultureandValues | |