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The Global Marketing Engines and Experiences (E&E) team within Microsoft is responsible for delivering integrated marketing experiences for Microsoft by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans. The Marketing Analytics and Data Science team within E&E build and deliver analytics solutions that enable marketers with the data-driven intelligence they need to drive business growth for our Azure, Microsoft 365, and Microsoft Security businesses. Our Marketing Analytics team builds and optimizes AI and machine learning models that measure and score millions of commercial customer interactions with marketing experiences and deliver recommendations to Microsoft sellers.

As a Senior Marketing Data Scientist in E&E, you will apply full-stack data mining, modeling, experimentation and statistical techniques to data from multiple sources to identify new patterns, detect analytical opportunities and build solutions that enable impactful data-driven decisions. You will contribute to the development and tracking of key performance indicators related to customer engagement and build complex analytical models that evaluate marketing campaign performance, business impact and highlight opportunities for future growth. We are seeking someone who is curious, comfortable with ambiguity, detail-oriented and able to use rigorous techniques to develop scalable, efficient, and effective advanced models and data products, at times taking a deep dive into data to tell a story. In addition, you build on the successes of others, value cross team collaboration, and contribute to a diverse and inclusive workplace

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

+ Lead large, complex projects to deliver accurate, accessible, secure and repeatable data products aligned to business and organizational needs and priorities that enhance our ability to inform marketing efforts, increase effectiveness of our approaches and deliver measurable outcomes.

+ Demonstrate leadership and subject matter expertise in business and data landscape, visualizations, experimentation, and analysis to effectively communicate and support data driven decision making.

+ Design and implement repeatable and scalable statistical and ML based frameworks to identify changes in behavior, business performance and other outcomes to help us make predictions and recommendations, set forecasts, identify anomalous activities, and understand outcome trajectory.

+ Partner with Data Services on technical requirements to ensure adherence to security and compliance guidelines and enable data availability, data quality and integrity for data science, analytics and wider business self-service usage.

+ Embody our culture (https://careers.microsoft.com/v2/global/en/culture) andvalues (https://www.microsoft.com/en-us/about) .

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.

+ 5+ years of experience analyzing B2B marketing data; paid media / acquisition campaigns; lead, activity and account profile data and sales funnel analytics from multiple disparate sources.

+ 5+ years of experience with quantitative, data modeling, and statistical skills. Writes efficient, readable and extensible code. Fluent in tools for navigating and analyzing data (SQL, Azure Data Explorer, R, Python, Databricks, etc.).

Additional** **or 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

+ OR equivalent experience.

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 $158,400 - $258,000 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

Microsoft will accept applications for the role until October 21, 2025.

\#EandEJobs

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) .