Data Scientist

Microsoft Microsoft · Big Tech · United States · Data Science

Data Scientist role focused on end-to-end delivery of strategic data science and AI solutions for clients, including building and deploying predictive models, integrating generative AI applications, and implementing prompt engineering, fine-tuning, and evaluation strategies for LLMs. The role involves collaboration with stakeholders, translating business problems into AI solutions, and ensuring responsible AI practices.

What you'd actually do

  1. Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements.
  2. Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions.
  3. Build and deploy predictive and prescriptive models using modern machine learning techniques.
  4. Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions.
  5. Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.

Skills

Required

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree AND 1+ year(s) data-science experience OR Bachelor's Degree AND 2+ years data-science experience OR equivalent experience
  • managing structured and unstructured data
  • applying statistical techniques
  • reporting results
  • consulting experience

Nice to have

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience

What the JD emphasized

  • strategic consulting engagements
  • generative AI
  • large language models
  • foundation models
  • prompt engineering
  • fine-tuning
  • evaluation strategies

Other signals

  • end-to-end delivery of strategic data science projects
  • design and implement advanced analytics and AI solutions
  • leverage generative AI for business transformation
  • build and deploy predictive and prescriptive models
  • design, develop, and integrate generative AI applications
  • Implement prompt engineering, fine-tuning, and evaluation strategies for large language models