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Microsoft Principal Data Scientist 
United States, Washington 
450564523

13.08.2024

Required/Minimum Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) 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 techniques and reporting results)
    • 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 techniques and reporting results)
    • OR equivalent experience.

Additional or Preferred Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniquesand reporting results)
    • OR equivalent experience.
  • Experience with design and implementation of enterprise-scale services
  • Experience delivering Dynamics 365 and/or Power Platform solutions desirable
  • Experience in developing,debugging,and supporting code in object-oriented languages and database querying languages.
  • Experience with building infrastructure using Microsoft Azure technology like Service Fabric, App Service, Docker.
  • Experience in developing and debugging product and test code within a micro-services architecture

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until August 20, 2024.

Responsibilities

As a Principal Data Scientist, you will be collaborate with a fast-growing team of skilled applied scientists and software engineers to implement these solutions and enhance customer experience, be responsible for implementing AI features towards a wide variety of business problems within Dynamics 365 products portfolio as well as ensuring they are done to meet rigorous quality standards with the result being software that is used by individuals and businesses throughout the world. In short you will do the following:

  • Focus on particular aspects of our product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies.
  • Assess business needs and integrate research to achieve business objectives. Your role involves guiding the selection of data to address issues strategically, leveraging your expertise to design, measure and build AI applications to drive tangible business results.
  • Record ongoing work and experimental findings, sharing them to encourage innovation.
  • Assess the effectiveness of models and collaborate with product teams to design AI-driven experiences.
  • You'll be involved in the onboarding process for new team members early in their careers, providing guidance and support as they join the team, and also assisting in coaching and mentoring other team members.
  • Cultivate a supportive and inclusive team culture, offering technical guidance to fellow applied scientists and serving as a mentor.

hroughout your tasks, you will work closely with Program Managers and other Software Engineers

Other

  • Embody our and