Senior Data & Applied Scientist

The TechHelp segment team within Microsoft WebXT, works on the latest state-of-art ML tech to understand user query and data, builds both backend and frontend services to satisfy users, monitors product quality and react to issues in a timely manner. Everything is at web scale – billions of queries at milliseconds of latency. You’ll be flexible to work on any one or multiple areas.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ Years of experience in deep learning (extensive work on NLP is a plus).
• Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Document Understanding, Information Retrieval, Natural Language Understanding.
• Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.

Preferred Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ years related experience (e.g., statistics predictive analytics, research)
  • OR equivalent experience.
• 5+ Years of experience in deep learning (extensive work on NLP is a plus).
• Published work in top-tier conferences & journals is a plus.
• Knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).