Data and Applied Scientist
 Microsoft | |
 United States, Nevada, Reno | |
| 6840 Sierra Center Parkway (Show on map) | |
 May 06, 2025 | |
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OverviewCloud Computing is the highly competitive and rapidly growing market and is one of the most important initiatives for Microsoft. Customers put their big bet on Azure Cloud Platform to run their business. The Azure Core Insights team is a growing Agile team looking for passionate candidate who have both machine learning /data science and development skills and a keen interest in building Artificial Intelligence Operations (AIOps) solutions to solve the unique challenges in Cloud and drive the new generations of cloud infrastructure.As a Data and Applied Scientist, you will be helping design and implement anomaly detection, auto-triaging/correlation, and causal inference model to deliver preventive insights to improve Azure cloud system's availability, reliability, and efficiency based on statistics, Artificial Intelligence/Machine Learning (AI/ML), Large Language Model (LLM) and Artificial Intelligence (AI) Agent. You will be helping drive the actions based on the insights and infuse the AI/ML, LLM and AI Agent into our daily operations by working with research team, engineering team and program management team. The ideal candidate should have a passion around data science, compute science, machine learning/AI, LLM and AI Agent and turning data into meaningful Insights and make it actionable. If you've dreamed of having global impact and love working with data and AI to create huge business value, come talk to us today! Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we 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.
ResponsibilitiesWe are an agile team that emphasizes teamwork and collaboration. Team members are expected to:Share accountability of a wide array of assets and be comfortable with learning a broad array of technologies.Independently design and implement anomaly detection, auto-triaging/correlation, and causal inference model to deliver preventive insights to improve Azure cloud system availability, reliability, and efficiency.Work with partner teams to integrate the Insights into Azure daily dev operations and Azure system for automatic mitigation and repairs.Contribute towards driving visibility into customer impacting on Virtual Machines or Containers or higher-level Azure services built on top of Virtual Machines.Assist with building an automated data quality solution to detect problems in downstream dependencies and take automated action to correct them.Look for opportunities to share learnings and tools broadly within Microsoft and beyond. Specifically, our team does cutting edge work with Azure Data Explorer (Kusto) and makes a point at contributing back to the larger environment. | |