Data Scientist II

• You will be working with large scale data and derive insights out of it while championing Privacy and Compliance.
• Build and deploy machine learning and AI models, including experimentation, evaluation, and integration into production systems.
• Develop LLM- and agentic-based applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen, including orchestration, memory integration, and observability.
• Deploy AI solutions and APIs using Azure services such as Azure AI Foundry, Copilot Studio, and Azure App Service/Cosmos DB.
• Build low-code and pro-code automation using services like Azure Logic Apps and Power Automate/Copilot Studio.
• Design, build, and optimize data workflows and pipelines within the Azure data ecosystem in partnership with the Platform Engineering team
• Work with large datasets using SQL/KQL, Python, and PySpark, and independently explore and query data using tools such as Synapse notebooks and related platforms.
• Develop and maintain scalable data processing and automation workflows for analytics and AI solutions.
• Apply modern and generative AI techniques, staying current with evolving technologies to deliver AI-enabled solutions.
• Make informed trade-offs, considering customer impact, scalability, performance, and maintainability.
• Build deep understanding of the Microsoft Security business, technology, and customers.

• Bachelor’s degree in computer science, Engineering, or a related technical field (or equivalent practical experience)
• 2+ years industry experience in Data Science , AI /ML /Analytics development role
• Ability to design agent-based AI workflows and orchestrate multi-step reasoning pipelines.
• Understanding of classical machine learning models such as regression, boosting, and other supervised learning approaches.
• Strong programming experience in Python, including data processing frameworks such as PySpark.
• Proficiency with SQL and/or KQL for querying and analyzing structured datasets.
• Hands-on experience with Azure data and AI services, including Synapse and related data engineering workflows.
• Experience working with LLMs/GPT Models, transformer-based models, and generative AI techniques.
• Familiarity with modern development environments such as Visual Studio Code, Azure Devops, GitHub and version-controlled development practices.
• Experience deploying applications end-to-end on Azure platforms
• Excellent communication & collaboration skills
• Strong track record of self-directed execution

Familiarity with Microsoft security solutions and the broader Azure cloud ecosystem, with prior exposure to security-focused products or Customer Experience Engineering environments considered a plus.