Principal Data Scientist

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 
 
Microsoft Fabric’s Real-Time Intelligence team is leading the transformation of real-time analytics in the world of data. The products of our portfolio include Microsoft Fabric, Kusto DB, Azure Data Activator, and Azure Maps. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a real-time data culture. 

​​The team 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.   
​ 

​​The Real-Time Intelligence team is hiring a Principal Data Scientist to tackle challenges in both open-source and proprietary technologies related to analytics, cloud, AI, and storage systems among others. We work on novel technologies including analytics on GPUs, container technologies, graph databases, infrastructure and models for LLMs and data-science, machine learning for systems, and many other areas. 

​​ 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 

Required/Minimum Qualifications 

• ​​PhD in 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 

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/Additional Qualifications 

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

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#azdat #azuredata 

• ​​Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft Fabric and provides expertise or 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.
• Brings new technology and 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. Identifies new 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 an expertise within 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 to identify product needs and drive action toward solutions.
• Reviews business and product requirements and incorporates state-of-the-art research or previously tested solutions occurring at Microsoft and the academic field to formulate plans that will meet business goals. Identifies problems and develops strategy to resolve team or feature level problems. Provides strategic direction for the kinds of data used to solve problems.​ 

Embody our and