Senior Applied Scientist
@ Microsoft

Redmond, Washington, United States
On Site
Full-time
Posted 4 days ago

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Job Details

Overview

Microsoft is a company where innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. In a cloud-enabled world, Microsoft fosters an environment of innovation, openness, and boundless opportunities.

About the Role - Senior Applied Scientist

The Business & Industry Copilots group is rapidly growing and is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. The team builds a suite of microservices that support multiple products within the Microsoft Power Platform.

Key Responsibilities

  • Design innovative solutions and microservices at scale.
  • Collaborate with engineers to solve complex problems.
  • Maintain impeccable quality in product development.
  • Contribute to empowering every person and organization.

Culture & Values

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Employees unite under a growth mindset, innovating, collaborating, and building on values of respect, integrity, and accountability to foster a culture of inclusion.

Key skills/competency

  • Machine Learning
  • Data Science
  • Microservices
  • Cloud Computing
  • Collaboration
  • Innovation
  • Problem Solving
  • Software Engineering
  • Scalability
  • Quality Assurance

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Research Microsoft culture: Study their mission, values, and recent projects.
  • Customize your resume: Highlight applied science and microservices experience.
  • Prepare technical examples: Demonstrate scalable system design expertise.
  • Network on LinkedIn: Connect with current Microsoft engineers for insights.

📝 Interview Preparation Advice

Technical Preparation

Review system design principles.
Practice coding algorithms and data structures.
Study machine learning frameworks.
Understand microservices architecture.

Behavioral Questions

Describe a challenging project managed.
Explain your teamwork in complex problems.
Share a time you innovated under pressure.
Discuss handling feedback and collaboration.

Frequently Asked Questions