New 
Senior Marketing Data Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 08, 2025 | |
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OverviewThe 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 enables data-driven decision making by providing data products and insights to measure marketing's performance and impact, understand the customer experience, and develop advanced models for marketing. 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 will 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.
ResponsibilitiesLead 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. | |