The Global Marketing Engines and Experiences (E&E) team within Microsoft builds and operates globally scaled capabilities that deliver connected marketing journeys. The Marketing Analytics and Data Science team enables data-driven decisions through products and insights that measure marketing impact, deepen understanding of customer behavior, and improve marketing efficiency and return on investment. We are looking for a Senior Marketing Data Scientist – Journey & Signal Intelligence who thrives at the intersection of customer behavior, advanced modeling, and marketing decisioning. You will expand how Microsoft understands the customer journey by integrating cross-channel customer behavior and product signals—including web engagement, product usage, trials, skilling, content consumption, and event activity—into Marketing Engagement Intelligence and other marketing models. You will both investigate and build: working hands-on with complex data, determining which behaviors contain meaningful signal, developing journey and targeting capabilities, and establishing whether they improve marketing and business outcomes. You will also provide technical leadership, shape production requirements, and partner with Data Engineering and marketing teams to move successful concepts into scaled use. We are seeking someone who is curious, comfortable with ambiguity, rigorous about evidence, and committed to shipping useful analytical capabilities. You build on the work of others, value cross-team collaboration, and contribute to a diverse and inclusive workplace.
Signal Discovery & Integration Identify and prioritize customer behavior and product data that can improve journey understanding, targeting, and marketing decisions. Profile structured and semi-structured sources and evaluate coverage, identity resolution, quality, bias, latency, stability, and fitness for modeling or activation. Define features, signal taxonomies, normalization methods, and analytical integration patterns; translate validated prototypes into clear requirements for Data Engineering. Journey Intelligence & Activation Develop models and analytical frameworks that map journeys, identify progression and intent, and reveal meaningful engagement patterns across touchpoints. Create and evaluate audience-selection methods, targeting signals, reusable features, and scores for marketing and activation systems. Partner with marketers to translate model outputs into practical journey and activation decisions that are understandable, actionable, and measurable. Measurement & Technical Leadership Design experiments and measurement frameworks to determine whether new signals and interventions improve engagement, progression, marketing efficiency, and business outcomes. Establish reusable standards for source evaluation, validation, explainability, drift monitoring, scientific documentation, and production readiness. Collaborate across data science, engineering, taxonomy, reporting, activation, and marketing teams; communicate findings, uncertainty, and recommendations to technical and executive audiences. Embody our Culture and Values.
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.
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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.
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters.
Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
