Data Scientist 2 for Office Copilot Services

Join an innovative team that delivers core CopilotSharedServices for our flagship Office Apps such as Word, Excel,andPowerPoint. Ourmission is todeliver the next generation of personalizedCopilotexperiencesleveragingbest ofbreedMicrosoft technologies across Copilot Platform, Microsoft Substrate, andbeyond.Considerthisopportunity to advanceour approachin waysthatbenefitsmillions of people.Wewillachieve thisthroughinnovationandvisionfor ournext-gen solutions,connecting key partnerships across Microsoft, and influencingbest-of-breedadvancementsleveragingAItechnology.

Within Copilot Shared Services,weapplya data-driven approach to innovation, led by experimentation, and leveraging new foundationalLLMs, advancedML techniques, rich algorithms,and AI technologies. The skills of Data Science will help us to accelerate developmental advancementsand improvequality of ourcustomerexperiences.We invest in agentic solutions and are working to advance methods of evaluation and automatedcustomersolutions. We are looking for a Data Scientist 2 to join our team to helpshape the future of how Office users interact with Copilot and AI. You will leverage your understanding of data science and business to examine projects and consider factors that can influence final outcomes within technical areas.

In this role as a Data Scientist II,you'llwork closely with engineers, program managers, data scientists and applied scientists to improve our approach to experimentation, and advance personalized experiences, the use of foundational models, advancement of evaluation techniques, and improve overall efficiency.

Responsibilities will include leading with a data first mindset, advancing experimentation, evaluations and datasets, evolution of advancedprompt engineering,selection andfine-tuning of models, develop concepts for more efficient andaccuratesolutions,andresearch andassess different architectures and approachesfrom across the M365 ecosystem.Youwillconnectwith leaders and subject matter experts across the company andplay a key role in building reliable, measurable systems that bridgecutting-edgeAIwith their expression across M365 Copilot user experiences.

Ifyou'reexcited about advancing applied AI and making adifference in the future of Copilot,we'dlove to hear from you.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe come together with a growth mindset, innovate to empower others, and collaborate 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.

• Define, lead, and implement advanced, repeatable data-driven pipelines and techniques with an emphasis on evaluation for the next generation of model generated suggested user actions.
• Conduct research projects and workstreams that directlybenefitour customers, drive positive usage, and improve Microsoft's core productivity products.
• Evolve our approach of our prompt engineering, model selection, design and manage evaluation datasets, develop concepts for more efficient andaccuratesolutions, and researching and assessing different architectures and approaches from across the M365 ecosystem.
• Collaborate and coordinatewith people in a range of roles, including researchers,engineers, product managers, designers, and product leaders and other key product stakeholders.
• Generate AI solutions that can be shipped to customers to improve their experience and used internally to generate data insights to shape the features and products we ship to customers.
• Teach, guide, and tutor colleagues without research backgrounds instate-of-the-arttechniques and research best practices.
• Many of the thingsyou will try shouldlead to unexpected outcomes.Youmust be comfortable learning from experience, developing new hypotheses, and iterating.
• Sharing project outcomes and insights with others via a range of means, including publication,to enable others to build onyourwork and tocontribute tothe understanding of our productsascutting-edgeand science driven.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.