Lead Applied Scientist

2 weeks ago


Redmond, Washington, United States Microsoft Corporation Full time
About Microsoft Corporation

At Microsoft, we are a community of passionate innovators who collaborate to envision the future and advance our careers. This is a realm filled with endless possibilities, innovation, and a mindset that embraces a cloud-enabled world.

Our Mission

We are dedicated to transforming analytics through our Azure Data engineering team, which leads the charge in the data landscape with cutting-edge products such as databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence solutions.

Our Product Portfolio

Our offerings include:

  • Microsoft Fabric
  • Azure SQL Database
  • Azure Cosmos DB
  • Azure PostgreSQL
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Service Bus
  • Azure Event Grid
  • Power BI

Our goal is to construct a data platform tailored for the AI era, enabling a new generation of data-first applications and fostering a data-centric culture.

About the Role

We are currently seeking a Senior Applied Scientist to join the Gray Systems Lab (GSL), a pioneering research group within the Azure Data CTO office. GSL addresses intriguing challenges across both open-source and proprietary technologies related to analytics, cloud computing, AI, and storage systems.

Key Responsibilities

As a Senior Applied Scientist, you will:

  • Establish collaborative relationships with relevant product and business groups.
  • Drive initiatives such as technology transfers, standards organizations, and patent filings.
  • Publish research to promote new intellectual property for business impact.
  • Bridge the gap between researchers and development teams to ensure cutting-edge technology is effectively applied.
  • Develop a deep understanding of complex services and platforms.
  • Identify and implement research-backed solutions to enhance Microsoft products.
Qualifications

To be considered for this role, you should possess:

  • A Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field with 4+ years of relevant experience.
  • Alternatively, a Master's Degree with 3+ years of experience or a Doctorate with 1+ year of experience in similar fields.
  • Experience in creating publications and presenting at industry conferences.
  • Experience in developing and deploying live production systems.
Our Culture

At Microsoft, we embrace diversity and inclusion, recognizing that each team member brings unique perspectives that drive innovation. Our culture fosters creativity, open dialogue, and a healthy work-life balance, empowering every individual to contribute to our mission of enabling every person and organization on the planet to achieve more.



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