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Data Scientist

Microsoft

$100,600 - $199,000
Oct 18, 2025
Redmond, WA, US
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Microsoft Marketing's Research + Insights organization is looking to shape the future of AI-powered product development and build tools that redefine how market research is done at scale.

Requirements

  • 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-Sharp, Java, R, JavaScript, Scala, Go, ReactJS etc).
  • Solid foundational understanding of machine learning concepts and terminology (e.g., model training, fine-tuning, embeddings, evaluation metrics).
  • Familiarity with knowledge graph technologies and semantic data modeling.
  • Deep familiarity with the Azure AI tech stack.
  • Ability to operate at multiple altitudes—from strategic vision to tactical execution.

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.

Other

  • Embody our Culture and Values
  • 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.
  • Highly self-directed and effective in decentralized, fast-paced environments.