Microsoft Senior Data Scientist 

Taiwan, Taoyuan City 

722948799

We’re looking for a

Required Qualifications:

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years 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, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• 3+ years of Python coding skill.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience in building large scale embedding based models and their applications.

• Advance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like encoder-decoder models, cross-encoder models. You will be working with large scale data and derive insights out of it while championing Privacy and Compliance. As a senior member in the team, you are expected to work with different parts of the stack as well as different team members to drive optimum designs and architectures.
• Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture.
• Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications.
• Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter.
• Lead and mentor: Provide technical leadership to junior scientists and engineers, and scale your learnings across the broader product group.
• Define success: Influence thorough model evaluation processes and generate insights from model experimentation. Establish and evolve success metrics that reflect platform and product growth.
• Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required.