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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Senior Data Scientist

Netherlands, Schiphol Employment contract 78800.00 - 133300.00 EUR / Year · Job Posted June 09, 2026
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Job Description

The Industry Solutions Engineering (ISE) team is a global engineering organization that has operated Microsoft's Forward Deployed Engineering function for over a decade, working directly with customers to co-engineer solutions to their toughest business challenges. We embed with customers, engineer side-by-side, and create real business value together. We operate in small, multidisciplinary teams, enabling tight feedback loops and rapid iteration. Together, we build AI-powered, cloud-based solutions that deliver measurable business outcomes. Our work is powered by Hypervelocity Engineering (HVE), a methodology of applying AI across the full lifecycle to build and ship secure, production-ready solutions from day one, accelerating time to value without sacrificing quality, control, or trust. We collaborate with Microsoft product teams, partners, and open-source communities to create reusable, high-impact solution patterns that contribute to the broader Microsoft platform. We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Job Responsibility

  • Acquire the data necessary for your project plan and develop usable data sets for modeling
  • Update internal best practices for data collection and preparation and contribute to data integrity conversations with customers
  • Evaluate your team's models using metrics tied to genuine business outcomes and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale
  • Conduct thorough reviews of data analysis and modeling techniques and identify and invent new evaluation methods
  • Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices
  • Write extensible code that spans multiple features and develop expertise in proper debugging techniques
  • Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities
  • Apply a customer-oriented focus to understand their needs and help drive realistic customer expectations
  • Embody our culture and values

Requirements

  • Bachelor's OR Master's OR Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Demonstrated experience or a strong interest in working in customer-facing environments
  • Comfortable with a travel requirement of approximately 25%

What we offer

  • Wide range of benefits built around your personal needs
  • Health, wellness, and financial future investment
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