Microsoft Principal Data Scientist 

United States, Washington 

905133605

. This is a world of, more innovation, more openness, and the skya cloud-enabled world.’s Real-Time Intelligenceproducts ofAzure Data Activatorand Azure Maps.data culture.

eam provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time & observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications.

among others. We work on novel technologies including analytics on GPUs, container technologies, graph databases,and models for LLMs and data-science, machine learning for systems, and many other areas.

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Qualifications

• ​PhDin Data Science, Mathematics, Statistics, Computer Science, or related field AND 5+ year(s) data-science experience
  • OR Master's in Data Science, Mathematics, Statistics, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 10+ years data-science experience
  • OR equivalent experience.

Other Requirements

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• 5+ years of experience with one or more of the following languages: Python, R, SQL, C++/C#.
• 1+ year working onGenAIproducts and LLM technologies.
• 5+ years of industry experience leading data science efforts using ML/LLM

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

• ​Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft Fabric and providesexpertiseor technology to create business impact. Takes initiative and drives activities such as technology transfers attempts, filing patents, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact.
• Bringsnew technologyand approaches into production by applying long-term data science efforts to solve immediate product needs. Collaborates with and bridges the gap between DS and development teams. Conducts thorough review of data science techniques used and highlights areas that have been missed or need reexamining.Identifiesnew evaluation approaches and metrics and invents new methodologies to evaluate models.
• Independently and collaboratively writes efficient, readable, extensible code/model that spans multiple features/solutions. Contributes to the code/model review process by providing feedback and suggestions for implementation and improvement.
• Serves as anexpertisewithin the domain. Gains deep knowledge in a complex or highly ambiguous service, platform, or domain. Shares knowledge of changes in industry trends and advances in applied technologies with engineers and product teams to apply advanced concepts toidentifyproduct needs and drive action toward solutions.
• Reviews business and product requirements and incorporatesstate-of-the-artresearch or previously tested solutions occurring at Microsoft and the academic field to formulate plans that will meet business goals.Identifiesproblems and develops strategy to resolve team or feature level problems. Provides strategic direction for the kinds of data used to solve problems.​

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