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Senior Data Scientist

Microsoft
The Netherlandsfull_timeVerifiedPosted 31 Oct 2025

About the role

<p><span>Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate </span><span>new solutions</span><span> to complex problems? Do you jump with excitement at the opportunity to </span><span>identify</span><span> trends and provide unique business solutions? Do you want to join a team where learning about </span><span>a new technology</span><span> or solution is part of our work every day</span><span>?  </span></span><span> </span></span></p><p><span>The Industry Solutions Engineering (ISE) team is a global engineering organization that </span><span>works side-by-side with customers, on a per-project basis, to collaboratively innovate custom solutions to solve their challenging business </span><span>problems;</span><span> from </span><span>inception</span><span> to production.</span> <span>We develop </span><span>broadly applicable</span><span>, high-impact solution patterns and open-source software assets in collaboration with Microsoft product teams, partners, and open-source communities.</span><span> This role will be primarily working with customers from the </span></span><strong><span><span>Retail &amp; Consumer Goods </span></span></strong><span><span>industries.</span></span><span> </span></span></p><p><span>We are hiring a Data Scientist to </span></span><strong><span><span>build and deploy </span><span>AI</span><span> systems at scale</span><span> as part of a cross-functional team</span></span></strong><span><span>—</span><span>working on projects </span><span>spanning computer vision, NLP, recommendation systems, predictive analytics, and generative AI.</span> <span>You'll</span> </span><strong><span><span>analyse complex datasets, design experiments</span></span></strong><span><span> to </span><span>validate</span><span> hypotheses, and </span></span><strong><span><span>establish</span><span> metrics linking technical outcomes to business impact</span></span></strong><span><span>. Working alongside engineers and technical program managers, </span><span>you'll</span> </span><strong><span><span>architect end-to-end AI solutions</span></span></strong><span><span>, develop </span></span><strong><span><span>production-ready ML pipelines</span></span></strong><span><span>, and contribute to </span></span><strong><span><span>scalable infrastructure</span></span></strong><span><span> serving millions of users while implementing </span></span><strong><span><span>MLOps</span><span> practices</span></span></strong><span><span> at enterprise scale.</span></span><span> </span></span></p><p><span>The job title </span><span>says</span><span> "Data Scientist", but if you consider yourself an "</span><span>AI/ML</span><span> Engineer" this is still for you! </span></span><span><span>🔥</span></span><span> </span></span></p><p><span>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Our team prides itself on embracing a growth mindset, innovating to empower others, and collaborating to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</span></span><span> </span></span></p><p><span> </span></p> <h3>Responsibilities</h3> <ul><li aria-setsize="-1"><p><span><strong><span><span>Business Understanding and Impact</span></span></strong><span><span>  </span></span><span> </span></span></p><ul><li aria-setsize="-1"><span>Leads data-science projects or teams to align with business needs and deliver value.  </span></span><span> </span></span></li></ul><p><span> </span></p><p><span><strong><span><span>Data Preparation and Understanding</span></span></strong><span><span>  </span></span><span> </span></span></p><ul><li aria-setsize="-1"><span>Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.  </span></span><span> </span></span></li></ul><p><span> </span></p><p><span><strong><span><span>Modelling</span><span> and Statistical Analysis</span></span></strong><span><span>  </span></span><span> </span></span></p><ul><li aria-setsize="-1"><span>Develops and applies ML frameworks and best practices for scalable and ethical solutions.  </span></span><span> </span></span></li></ul><p><span> </span></p><p><span><strong><span><span>Evaluation</span></span></strong><span><span>  </span></span><span> </span></span></p><ul><li aria-setsize="-1"><span>Oversees review of data analysis and </span><span>modelling</span><span> techniques. Ensures selected </span><span>modelling</span><span> techniques are </span><span>appropriate</span><span> and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).  </span></span><span> </span></span></li></ul><p><span> </span></p><p><span><strong><span><span>Industry and Research Knowledge/Opportunity Identification</span></span></strong><span><span>  </s

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Company

Microsoft

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