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Senior Data Scientist

Microsoft

$119,800 - $234,700
Oct 6, 2025
Redmond, WA, US
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Microsoft's Industry Solutions Engineering (ISE) team is looking to solve complex problems for customers by leveraging the latest technologies, including AI and cloud-based solutions, and developing innovative solutions to address their toughest challenges.

Requirements

  • 5+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
  • 5+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
  • Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
  • Experience with Big Data and innovative thinking and problem-solving skills.
  • Ability to deliver on ambiguous projects with incomplete data.
  • Experience with cloud-based solutions and services.
  • Experience with open-source software assets and contribution to the Microsoft platform.

Responsibilities

  • Lead efforts to gather project-specific data, build usable datasets for modeling, and enhance internal best practices for data collection.
  • Assess and improve team models, champion modeling best practices, and develop scalable operational models.
  • Stay current with industry trends and technologies to inform strategic decisions.
  • Champion A/B testing and experimental design to validate product impact, while leveraging tools like SQL, R, and Python for analysis.
  • Define and align business and customer strategy goals, collaborate across teams to uncover new opportunities, and maintain a customer-first approach to deliver realistic, value-driven solutions.
  • Write extensible, multi-feature code and refine debugging skills to support robust development.
  • Develop solutions side-by-side with customers through collaborative innovation to solve their challenges.

Other

  • Doctorate or Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
  • 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
  • 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Ability to travel up to 25%