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About the job

Overview

Microsoft Customer and Partner Solutions-Core (MCAPS) accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.

MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.

The Customer & Commercial Success (C&CS) organization, an organization within MCAPS-Core, is the connected engine that turns Microsoft’s commercial strategy into execution at scale — making it simpler and faster for the field to win for every customer, in every segment, region, and role. The organization brings together planning, landing, execution excellence, services portfolio and delivery, and field activation across ATU, STU, and CSU to accelerate customer value, drive growth, and strengthen the end-to-end experience across every customer moment.

We are looking for an experienced Senior Data Scientist who combines deep analytical expertise, business acumen, and an AI-first mindset to transform complex commercial data into actionable insights. You will challenge assumptions, uncover emerging opportunities, and help sellers and leaders understand not only what is happening in the business, but why it is happening and what actions to take next. The ideal candidate will apply statistical analysis, machine learning, AI, experimentation, and compelling data storytelling to influence decisions and deliver measurable business impact at scale.

This role offers the opportunity to:

Collaborate with a diverse team of data scientists, business program managers, finance professionals, and cross-functional partners.

Deepen your expertise in the evolving AI and ML landscape.

Drive impact for thousands of Microsoft sellers, managers and leaders.

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

In this role, you will own ambiguous, high-impact analytical problems from problem definition through solution deployment and adoption. You will identify and integrate relevant data sources, define analytical approaches and success criteria, develop statistical, machine learning, and AI-powered solutions, and translate findings into clear recommendations for business and technical leaders. You will design scalable and reusable analytical methods while ensuring quality, privacy, security, and responsible AI practices. Key areas of focus for this specific position are:

Business Understanding and Impact

Develop a deep understanding of commercial business priorities, seller and leader workflows, and the decisions that insights must enable. Translate ambiguous business questions into structured analytical problems, measurable success criteria, and scalable data science solutions. Clearly communicate methods, findings, limitations, and recommended actions to technical, business, and executive audiences. Measure the adoption and business impact of delivered solutions

AI-Powered Insights & Innovation

Apply modern AI, machine learning, statistical modeling, experimentation, and agentic approaches to transform how commercial insights are generated, synthesized, and delivered. Rapidly prototype, evaluate, and scale AI-powered analytical experiences using technologies such as Microsoft Fabric, Azure AI Foundry, GitHub Copilot, and other relevant Microsoft AI capabilities. Apply responsible AI principles and establish appropriate quality and evaluation measures.

Data Preparation and Understanding

Identify, acquire, and integrate structured and unstructured data required to address complex business problems. Lead data exploration, feature development, analytical design, model validation, and interpretation using rigorous and reproducible methods. Proactively identify data-quality, lineage, bias, and integrity issues and partner with engineering, architecture, and business stakeholders to resolve them. Ensure compliance with Microsoft privacy, security, and responsible AI requirements.

Data Science Tools & Fundamentals

Demonstrate technical depth in sourcing and analyzing complex data, designing analytical approaches, and applying statistical, machine learning, and AI techniques to solve business problems. Develop scalable analytical solutions and data products that translate complex data into actionable insights and decision support. Continuously evaluate and adopt modern AI-driven tools, methods, and engineering practices to improve the speed, quality, and impact of insight delivery

Qualifications

Required/minimum qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree 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.

Other Requirements

Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.

Additional Preferred Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree 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.

Experience working with large, distributed, and complex data sets to generate actionable insights and recommendations.

Demonstrated experience applying statistical analysis, experimentation, machine learning, or AI to solve business problems.

Experience developing reusable analytical methods, models, data products, or decision-support solutions from conception through production and adoption.

Strong written and verbal communication skills, including the ability to translate complex analytical findings into clear executive narratives.

Demonstrated ability to influence across organizational boundaries and build trusted relationships with business, engineering, finance, and technical stakeholders.

Experience operating effectively in ambiguous environments, prioritizing competing needs, and delivering measurable outcomes.

Experience with Microsoft Fabric, Azure AI Foundry, Kusto, Power BI, GitHub Copilot, or related Microsoft AI and analytics technologies is preferred.

Experience providing technical leadership, mentoring others, or establishing analytical best practices is preferred.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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

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.