Job description

Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. Within CE&S, the Customer Service & Support (CSS) organization builds trust and confidence for every person and organization through delivering a seamless support experience. In CSS, we are powered by Microsoft’s AI technology to help consumers, businesses, partners, and more, resolve their issues quickly and securely, helping prevent future problems from occurring and achieving more from their Microsoft investment. In the Customer Service & Support (CSS) team we are looking for people with a passion for delivering customer success. As a Principal Technical Support Engineer, you will engage with executive level customers and development teams across Microsoft to enable resolution of highly complex technical issues and drive appropriate product changes. This opportunity will allow you to accelerate your career growth, hone your deep technical expertise and become a technical leader within Microsoft. Microsoft’s 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 • Vision & Standards: You set the long-term vision and standards for experimentation, causal inference, and machine learning across the organization. • High-Stakes Analysis: You drive the most complex, high-stakes analyses where correct causal identification is critical to strategic decisions. • Frameworks: You architect scalable modeling and experimentation frameworks adopted across teams. • Executive Advisory: You advise executives and cross-functional leaders on measurement strategy and interpretation of results. • Mentorship: You mentor senior data scientists and shape hiring and technical growth for the discipline. • Excellence: You champion methodological excellence, reproducibility, and compelling data storytelling. Qualifications Required/minimum qualifications • Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 10+ years technical support, technical consulting experience, or information technology 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: Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport.    Additional or preferred qualifications • Bachelor's Degree in Computer Science, Information Technology, or related field AND 15+ years of technical support, technical consulting experience, or information technology experience • OR equivalent experience. • Authority in causal inference — able to design novel identification strategies and adjudicate hard causal questions. • Deep statistical mastery — inference, uncertainty, experimental design, and modern statistical methods. • Expert ML skills — advanced modeling, validation, and production-grade deployment at scale. • Deep experience evaluating LLMs and/or AI agents — defining evaluation strategy, novel benchmarks, and measurement standards for model and agent quality, safety, and reliability. • Data storytelling — setting the bar for communicating insight through compelling data stories and enhanced visualizations in Python (e.g., matplotlib, seaborn, plotly) or other tools. • Demonstrated influence on company strategy through causal and statistical work. • Deep experience with causal ML tooling and large-scale experimentation platforms. • Expert proficiency in Python or R and SQL. Technical Support Engineering IC6 - The typical base pay range for this role across the U.S. is USD $130,900 - $277,200 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 $165,600 - $303,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

Vision & Standards: You set the long-term vision and standards for experimentation, causal inference, and machine learning across the organization.
High-Stakes Analysis: You drive the most complex, high-stakes analyses where correct causal identification is critical to strategic decisions.
Frameworks: You architect scalable modeling and experimentation frameworks adopted across teams.
Executive Advisory: You advise executives and cross-functional leaders on measurement strategy and interpretation of results.
Mentorship: You mentor senior data scientists and shape hiring and technical growth for the discipline.
Excellence: You champion methodological excellence, reproducibility, and compelling data storytelling.
Required/minimum qualifications
Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 10+ years technical support, technical consulting experience, or information technology experience • OR equivalent experience.
Other Requirements
Bachelor's Degree in Computer Science, Information Technology, or related field AND 15+ years of technical support, technical consulting experience, or information technology experience • OR equivalent experience.
Authority in causal inference — able to design novel identification strategies and adjudicate hard causal questions.
Deep statistical mastery — inference, uncertainty, experimental design, and modern statistical methods.
Expert ML skills — advanced modeling, validation, and production-grade deployment at scale.
Deep experience evaluating LLMs and/or AI agents — defining evaluation strategy, novel benchmarks, and measurement standards for model and agent quality, safety, and reliability.
Data storytelling — setting the bar for communicating insight through compelling data stories and enhanced visualizations in Python (e.g., matplotlib, seaborn, plotly) or other tools.
Demonstrated influence on company strategy through causal and statistical work.
Deep experience with causal ML tooling and large-scale experimentation platforms.
Expert proficiency in Python or R and SQL.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Additional or preferred qualifications

Application prep

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Keywords to mirror

aimachine learningmlpythonsql

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Benefits

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