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Microsoft Senior Applied Scientist 
China, Beijing, Beijing 
915799708

Yesterday


Required Qualifications

  • Bachelor's Degree in Statistics, Computer Science or Machine/Deep Learning or related field AND 6+ years related experience (e.g., statistics predictive analytics, research)
    • OR Master's Degree in Statistics, Computer Science or Machine/Deep Learning or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Computer Science or Machine/Deep Learning or related field AND 4+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • 2+ years Machine/Deep Learning Algo experience.

Preferred Qualifications

  • Experience in Search related area is preferred
  • Expertise in Deep Learning such as NLP preferred
  • Experience in information retrieval, data mining, machine learning, deep learning, classification or clustering is a big plus
  • Ability to derive creative and innovative solutions by thinking "outside the box"
Responsibilities

We are looking for motivated and talented individuals at various career stages of their careers, to build core Search. As an applied scientist, you will play a critical role in the team. You will need to understand the design, code and features of many different areas, quickly come up to speed and deliver features via this intuitiveness, attention to detail and responsiveness.

  • You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
  • You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.
  • You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.
  • You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.