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Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsofts expanding Cloud Infrastructure and responsible for powering Microsofts Intelligent Cloud mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for a passionate, Principal Data Scientist to help achieve that mission.

The Cloud Hardware Analytics & Tools (CHAT) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. We collect and analyze data across the full Azure stack, HW & SW components, Silicon development processes, and much more. CHAT Data Science, a branch of CHAT, provides data science support, machine learning and artificial intelligence solutions, and advanced visualizations to cloud engineering and management partners. The Principal Data Scientist will lead end-to-end development of Artificial Intelligence/Machine Learning (AI/ML) solutions. This high-impact role combines data engineering with data science, and will have direct contributions to Azure-level projects, including working with highly visible platforms through data-driven approaches. This role closely collaborates with Data Scientists, Business Intelligence (BI) and Data Engineers, Software Engineers, Program Managers, and HW Engineering teams.

Microsofts 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.

Responsibilities

• Analyze large-scale Azure data to address critical business problems

• Work on new data engineering solutions to extract, transform, load (ETL) massive datasets at near real-time

• Work on complex, mission-critical solutions that involve multiple Azure Services

• Design and develop production-level code for data science

• Design and develop new machine learning solutions end-to-end

• Work in collaborative environment

Qualifications

Required/Minimum Qualifications

• 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 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 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 equivalent experience.

• 7+ years developing data-driven analytics and solutions using a programming language such as Python, R, C#, C++, Java, Go.

• 7+ years developing and deploying enterprise-scale end-to-end machine learning solutions, including developing novel modeling approaches / architectures, or fine-tuning models (such as LLMs) for specific business used-cases.

• 7+ years developing enterprise-scale data engineering solutions, leveraging big data technologies such as Spark, Azure Synapse, Databricks.

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 Qualifications

• 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 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 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 equivalent experience.

• 5+ years experience developing ML solutions within Microsoft Azure, or 7+ years experience with another cloud provider such as GCP, AWS.

• 10+ years developing and deploying enterprise-scale end-to-end machine learning solutions.

• 7+ years experience acting as technical project lead, and expertise in data engineering, machine learning, MLOps, and / or related advanced data-driven analytics.

• 3+ years experience developing ML solutions within a cloud environment, such as Microsoft Azure, GCP, AWS.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .