Microsoft Principal Data Scientist Manager 

India, Telangana, Hyderabad 

389342975

Required Qualifications:

• Doctorate 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)
  • OR Master'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 techn
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical te
  • OR equivalent experience.
• 3+ years people-management experience.
• 10+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• 5+ Years of experience in deep learning(extensive work on NLP is a plus).

Additional or Preferred Qualifications:

• Published work in top-tier conferences & journals.
• Ability to synthesize the research literature, compare/contrast/critique and combine ideas into creating new ML models.
• Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.
• Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Document Understanding, Information Retrieval, Natural Language Understanding.

• Build and refine machine learning models to solve NLP tasks and productizing the solutions at scale. Staying abreast with the SOTA advancements and use them to formulate novel solutions.
• Advancing the state of the art of NLP technologies for real world scenarios.
• Developing novel machine learning and data mining algorithms. Contribute ideas and techniques to shape decisions and improve product quality metrics.
• Participate in design, implementation and execution with a team of engineers, applied scientists and product managers.
• Collaborate with Program Managers and stakeholders to create and architect innovative end-to-end solution design. Mentor and provide technical guidance to a diverse high-performance team of Data Scientists
• Create clarity, generate energy and deliver the impact
• Ensuring compliance with Security, Privacy, GDPR etc. and performance criteria. Use data and insights from customer and production to contribute to some technical design and implementation decisions.