Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

In short

Microsoft is seeking a Data Scientist to lead end-to-end delivery of strategic data science and AI projects, creating measurable business impact. This remote role involves collaborating with stakeholders, building predictive and generative AI models, and acting as a trusted advisor, requiring strong technical expertise and consulting skills.

Responsibilities

  • Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements.
  • Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions.
  • Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles.
  • Identify opportunities to leverage generative AI for business transformation and innovation.
  • Acquire, clean, and prepare large datasets for modeling.
  • Build and deploy predictive and prescriptive models using modern machine learning techniques.
  • Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions.
  • Write efficient, maintainable code and ensure scalability for production environments.
  • Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.
  • Present findings to senior stakeholders using compelling storytelling and visualizations.
  • Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption.
  • Document best practices for AI application development and share knowledge across teams.
  • Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.
  • Promote responsible AI practices, including fairness, transparency, and explainability in model and application development.
  • Stay current with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities.

Requirements

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

Desired Qualifications

  • Managing structured and unstructured data, applying statistical techniques and reporting results.

Benefits

  • 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
#data science#ai#machine learning#consulting#analytics#generative ai
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Company

Microsoft

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

Remote

Experience Level

Mid-Senior

Locations

United States

Qualification

Doctoral, Master, Bachelor

Applicants

Be an early applicant