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Job Details
Posted date: Apr 09, 2026
Category: Data Analytics
Location: Multiple Locations, Multiple Locations
Estimated salary: $175,200
Range: $128,000 - $222,400
Employment type: Full-Time
Work location type: 0 days / week in-office – remote
Role: Individual Contributor
Description
OverviewWith 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.
We are looking for a Senior Data Scientist with to lead high-impact analyses focused on improving the operational efficiency of AI-powered features used by engineers in customer service workflows. This role requires strong expertise in causal inference and econometrics, including methods such as difference-in-differences, regression discontinuity designs, and randomized experiments. What makes this role distinctive is the opportunity to operate at the intersection of causal inference and modern AI systems. The ideal candidate will have familiarity with causal discovery methods (e.g., graphical models, structure learning) as well as experience evaluating LLM outputs along dimensions such as groundedness, robustness, and consistency. You will partner closely with cross-functional teams, including product, and finance, to ensure that both the impact and the quality of AI-driven features are measured, understood, and continuously improved.
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
Develop and maintain a deep understanding of the end-to-end processes engineers use to resolve customer service cases.Apply causal inference techniques to estimate the impact of AI-enabled features using observational data; analyze randomized experiments where available; and evaluate the quality of LLM outputs.Critically assess and benchmark alternative models developed by partner teams, with a focus on both causal impact and output quality.Extract and transform data using SQL, and build analytical and modeling workflows in PythonEmbody our culture and values.
Qualifications
Required minimum qualifications:
Masters Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysisOR Bachelors Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysisOR equivalent experience.
Preferred Qualifications / Differentiators
Proven track record of using advanced statistical methods to assess the efficiency impact of change on established systems. Demonstrated ability to understand complex engineering workflows and consistently operate in alignment with organizational culture and values.Experience applying causal inference methods and experimental analysis to evaluate AI‑enabled features and LLM output quality.Proficient in SQL for data extraction and Python for building end‑to‑end analytical and modeling workflows.Ability to assess and build statistical models from very large data sets.
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.
Data Analytics IC5 - The typical base pay range for this role across Canada is CAD $128,000 - CAD $222,400 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Data Analytics IC5 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 128,000 $ CAD à 222,400 $ CAD par année.
Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.
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.