Data Scientist

Data Scientist – AI & Data Science Tools Team

We are seeking a pioneering, technically fluent Data Scientist to join our AI & Data Science Tools team within Microsoft Marketing’s Research + Insights organization. In this high-impact role, you’ll help shape the future of AI-powered product development and build tools that redefine how market research is done at scale.

Why Join Us?

• Be at the intersection of AI innovation and marketing strategy, influencing decisions across Microsoft.
• Drive the design, build, testing, and scaling of cutting-edge AI tools for market research.
• Enjoy high visibility and the opportunity to make a lasting impact while growing your career in one of Microsoft’s most forward-looking teams.

About the Team

Our Research + Insights team is one of the largest and most innovative market research organizations in the world, partnering closely with Microsoft’s core businesses. We thrive on tackling significant business challenges, influencing decision makers, and delivering insights that shape global strategies.

We are:

• Intellectually curious, analytical, and impact-driven.
• Passionate about data science, research excellence, and career growth.
• Committed to an open, inclusive, and transparent culture where collaboration and innovation flourish.

Responsibilities

•  AI Graph Management: Oversee the design, development, and ongoing management of our knowledge graph architecture to support scalable AI solutions.
• Product Roadmap & Rhythm of Business (ROB): Own and evolve the product roadmap and ROB processes, ensuring alignment with strategic goals and technical feasibility.
• Cross-Functional Collaboration: Interface with developer teams, Research + Insights research managers, Marketing leadership, and partner data science teams to translate business needs into technical requirements. Technical Communication: Articulate complex technical concepts clearly to both engineering teams and executive stakeholders.
• Innovation & Execution: Drive product development in a fast-paced, ambiguous environment with a focus on delivering high-impact AI tools.

• Embody our Culture and Values

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.
• Technical expertise as a developer, data scientist, or technical program manager.
• Proven experience and engagement within the AI category, building and launching generative AI solutions.
• Fluency in Python and at least one additional programming languages (example: SQL, C#, Java, R, JavaScript, Scala, Go, ReactJS etc).
• Experience leading internal change management and enablement efforts to support the adoption of new AI technologies.

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