Job Description
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 enables data-driven decision making by providing data products and insights that measure marketing's performance and impact, deepen understanding of customer behavior, and drive marketing efficiency and ROI. We are looking for a Senior Data Scientist - Agentic Systems who thrives at the intersection of applied machine learning, large language models, and marketing operations. This is someone who can design, build, and ship generative AI capabilities that fundamentally change how an analytics team operates and how marketers consume insight. Are you passionate about generative AI, agentic systems, and applying them to the day-to-day reality of how analytics organizations run? Would you like to help shape and build the generative AI roadmap for one of Microsoft's largest marketing analytics teams, working alongside data scientists, marketers, engineering partners, and external development vendors? And to do that in the dynamic, customer-focused, and data-rich world of cloud-based business products? As a Senior Data Scientist - Agentic Systems in E&E, you will be the technical lead for the team's generative AI work, spanning three areas: (1) the AI-native analytics operation — agents that act as co-PMs to our data scientists, manage hygiene and prioritization within Azure DevOps, and surface risks before they become escalations; (2) analyst delivery acceleration — internal large language model (LLM)-powered skills and workflows that compress the time from ask to insight, including automated generation of analytics inputs for monthly business review (MBR), and other leadership review rhythms; and (3) marketer-facing capabilities — most notably a conversational analytics agent that lets marketers self-serve on the questions they bring to us today. You will both build and lead. Expect to spend meaningful time hands-on in the codebase — designing agent architectures, prototyping LLM skills, integrating against Azure DevOps and our analytics platforms, and shipping working capability into the team. You will also lead the vendor-developed portions of the work: scoping requirements, defining acceptance criteria, reviewing technical design, and holding partners accountable to quality and timeline. The role demands strong applied machine learning (ML) and software engineering judgment, the storytelling and partnership skills to bring marketing leaders along on what generative AI can and can't do for them, and the credibility to be a trusted technical partner in conversations across E&E and with engineering counterparts. We are seeking someone who is curious, comfortable with ambiguity, opinionated about technical direction, and committed to shipping. You build on the work of others, value cross-team collaboration with data scientists, analysts, marketers, engineering partners, and vendors, 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.
