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Microsoft Principal Applied Scientist Manager 
China, Beijing, Beijing 
827417803

28.01.2025
Qualifications
  • Educational Background: Bachelor’s degree or higher in Computer Science, or a related field.
  • Background in Algorithms and Recommendation Systems: A background in recommendation systems or algorithms is preferred, with the ability to provide professional guidance and innovative ideas in personalized content recommendations.
  • Work Experience: At least 5 years of software development experience and over 2 years of project management experience.
  • Communication Skills: Good English communication skills, with the ability to effectively engage in technical and business discussions with global teams.
  • Project Management Skills: Strong project management abilities, familiar with Agile development processes, and capable of working effectively in a multitasking environment.
  • Leadership and Communication Skills: Excellent leadership and team collaboration skills, with the ability to motivate team members and communicate effectively with cross-functional teams.
  • Problem-SolvingAbilities : Strong analytical and problem-solving skills, capable of quickly responding to and handling system failures.
  • Innovation Mindset
Responsibilities
  • Technical Design: Develop and execute technical roadmaps to ensure the product's quality and growth.
  • Project Management: Manage the entire development lifecycle, including requirements analysis, design, development, testing, and deployment, to ensure projects are delivered on time and to quality standards.
  • Ownership Mindset: Actively identify the problem, then lead the design and implementation process to effectively integrate the solution into the final product.
  • Cross-Team Collaboration: Work closely with product managers, UX designers, and other team members to understand business requirements and translate them into technical solutions.
  • Technical Innovation: Stay attuned to industry trends and new technologies, actively promoting innovation and the adoption of best practices.
  • Quality Assurance: Establish and enforce standards for code reviews, unit testing, and integration testing to ensure high code quality and system reliability.