Microsoft Senior Data Scientist 

China, Hong Kong 

347914349

Required/Minimum Qualifications

• Minimum of 8 years (for those with Bachelor’s Degree / Master’s Degree) or 5 years (for those with a Doctorate) of experience as a data scientist implementing data science solution, with experience in implementing projects in one or more areas amongst: Computer Vision, LLMs, Audio/Voice data processing, and Reinforcement Learning.
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience.
• OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field
• OR equivalent experience.
• Proficiency in English is mandatory. Proficiency in Mandarin or Cantonese is preferred.

Your success in this role will be achieved if you are comfortable interacting with external customers, are able to manage a complicated internal stakeholder group, and can demonstrate the following key knowledge, skills and experience:

• Hands-on software engineering experience (e.g. Python, C++).
• Proven skills and experience in a data science role.
• Familiarity with building and deploying largescale AI solutions into production within a cloud environment. Has experience in working with MLOps, LLMOps and frameworks like LangChain, Semantic Kernel and Prompt Flow.
• Experience of working with customers, directly and independently, in ensuring that the proposed solution addresses the business needs – through all stages from solutioning to deployment into production.

Coding and Debugging