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About the Role

The Senior Economist will join the AI Strategy & Business Innovation team within Global Customer Success, focusing on applying rigorous, data-driven methods to solve real-world business problems at the intersection of economics, analytics, and business strategy. This role involves shaping measurement approaches for complex initiatives, partnering across teams, and driving evidence-led action to accelerate AI transformation for customers.

Responsibilities

Design and apply causal inference methods to evaluate business initiatives in non-experimental settings.
Identify, define, and quantify customer and business outcomes, then causally evaluate product and service offerings to determine which combinations maximize outcome attainment.
Build robust analytical frameworks that connect customer, commercial, and operational signals to measurable outcomes.
Develop cohort-level economic insights to support prioritization, investment decisions, and long-term planning.
Partner with data and engineering teams to define practical data requirements and improve analytical readiness.
Translate technical findings into clear, executive-ready recommendations.
Raise analytical rigor across the organization through thought partnership, review, and coaching.
Review analytical outputs from internal and external partners for methodological quality and clarity.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 1+ year(s) of experience in applied economics or data-science OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 3+ years of experience in applied economics or data-science OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 5+ years of experience in applied economics or data-science OR equivalent experience.
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 3+ years of experience in applied economics or data-science OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 5+ years of experience in applied economics or data-science OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 7+ years of experience in applied economics or data-science OR equivalent experience.
3+ years of experience applying causal inference in real-world settings.
Experience with quasi-experimental methods (DiD, IV, matching, regression techniques), experimentation and impact evaluation.
Demonstrated ability to communicate complex findings to business leaders and cross-functional partners, translating technical concepts into executive-ready messages is a critical competency.
Familiarity with portfolio-level or risk modeling concepts, cost modeling under uncertainty.
Proven ability to work with messy, observational data and incomplete measurement systems.
Experience in SaaS / cloud services / platform economics, marketplace or pricing organizations, or experimentation teams (growth, product analytics).
Exposure to operations, reliability, or capacity planning systems; AI-driven or automation-heavy environments.
Familiarity with customer lifecycle, retention, and growth analytics.
Experience influencing cross-functional teams in ambiguous, fast-moving environments.

Skills

Applied economics
Data-science
Managing structured and unstructured data
Applying statistical techniques
Reporting results
Causal inference
Quasi-experimental methods (DiD, IV, matching, regression techniques)
Experimentation
Impact evaluation
Communication of complex findings
Translating technical concepts into executive-ready messages
Portfolio-level or risk modeling concepts
Cost modeling under uncertainty
Working with messy, observational data
Working with incomplete measurement systems
SaaS / cloud services / platform economics
Marketplace or pricing organizations
Experimentation teams (growth, product analytics)
Operations, reliability, or capacity planning systems
AI-driven or automation-heavy environments
Customer lifecycle, retention, and growth analytics
Influencing cross-functional teams

Location

U.S.

Work Type

Full-time

Experience Level

Senior
3+ years
5+ years
7+ years

Education Level

Doctorate
Master's Degree
Bachelor's Degree

Salary/Compensations

USD $119,800.00 - $234,700.00 per year (U.S.)
USD $160,200.00 - $261,000.00 per year (San Francisco Bay area and New York City metropolitan area)

Benefits

Certain roles may be eligible for benefits and other compensation.

About the Company

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 Global Customer Success (GCS) organization is leading the effort to enable customer success on the Microsoft Cloud by combining AI-powered capabilities and human expertise to deliver innovative solutions that accelerate business value, drive operational excellence, and nurture long-term loyalty.
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.

Equal Opportunity

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.