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The Digital Direct Sales (DDS) team at Microsoft is a global eCommerce organization that helps consumers and very small businesses discover, learn, and buy Microsoft products. Operating in over 120 countries, DDS combines data-driven insights, experimentation, and personalization to deliver intelligent, adaptive shopping experiences. We engage customers throughout their digital journeys, driving emotional connection, business growth, and innovation at scale. We are seeking a highly skilled and strategic Data Scientist to join our Reporting, Analytics, and Data Science (RAD) team.

As a Data Scientist in the RAD team, you’ll operate at the forefront of AI innovation—working fast to uncover meaningful applications that drive impact across the business. You’ll harness emerging technologies to solve complex problems, accelerate experimentation, and deliver scalable, intelligent solutions that shape the future of analytics at Microsoft.

This opportunity will allow you to:

+ Accelerate your career growth by leading high-visibility AI initiatives

+ Deepen your experience in cutting-edge data science and machine learning techniques

+ Influence how Microsoft applies AI to unlock new business value Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

+ **Data Preparation & Exploration:** Acquire, clean, and organize datasets; query and visualize data; explore key attributes to support analysis and experiments

+ **Model Development & Evaluation:** Apply appropriate modeling techniques, build and refine Retrieval-Augmented Generation (RAG)/Large Language Models (LLM), and evaluate results for statistical and business significance

+ **Performance & Integration:** Optimize model accuracy, scalability, and efficiency while embedding solutions into business workflows and tools

+ **Research & Innovation:** Stay current with industry trends, emerging AI/Machine Learning (ML) techniques, and best practices; contribute to thought leadership and experimentation

+ **Customer & Business Alignment:** Understand customer goals, identify growth opportunities, and manage expectations to ensure project outcomes deliver value

+ **Collaboration & Technical Execution:** Partner across teams, write efficient/debuggable code, and contribute domain experience to align initiatives with business strategy

+ **Other:** Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications

+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

+ OR Master's Degree 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 consulting experience

+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

+ OR equivalent experience.

+ 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.

+ 1+ year(s) experience in Retrieval-Augmented Generation (RAG) and/or Large Language Model (LLM) and prompt engineering

+ Experience with model fine-tuning, cloud computing platforms, and Application Programming Interface (API) development.

Additional or Preferred 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.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 will accept applications for the role until November 16, 2025.

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) .