As Microsoft continues to push the boundaries of AI, we are on the lookout for individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. We're looking for a Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling.
\nResponsibilities: Develop metrics for Copilot usage and quality. Drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation. Enable A|B experimentation for new features. Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own. Articulate insights, storyboard with data and communication to influence leadership and other key decision makers. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values.
\nQualifications: Required Qualifications: 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. Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ 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 7+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
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\nWe're looking for an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot.
\nThe Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.
\nEach 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.
\nResponsibilities:
\nQualifications:
\nPreferred Qualifications:
\nExperience with prompt engineering and using LLMs.
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\nThe Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. You will develop metrics for Copilot usage and quality, drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. You will also drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
\nYou will enable A|B experimentation for new features, hands-on analysis of large volumes of telemetry data using various algorithms and tools, and articulate insights, storyboard with data and communication to influence leadership and other key decision makers. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
\nWe're looking for someone who thinks deeply about measurement and human-AI interactions, and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.
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\nIntercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
\nOur AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
\nWhat's the Opportunity?
\nThe Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.
\nAI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.
\nWhat Will I Be Doing?
\nWhat Skills Do I Need?
\nBenefits
\nWe are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
\nPolicies
\nIntercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
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\nAI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.
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