Data Scientist II Job at Microsoft Corporation (Bangalore)

Data Scientist II

Microsoft Corporation

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Microsoft Security Customer Experience Engineering (CXE) organization partners closely with product and engineering teams to improve product quality, reliability, and customer success by translating real-world usage and operational signals into actionable insights. Within CXE, Shared Services provides centralized, scalable capabilities such as Data Platform ,analytics, experimentation, and applied AI that enable consistent, data-driven decision-making across multiple products . Operating horizontally across teams scales impact, accelerates learning, and improves product adoption and outcomes . The team is a geo-distributed group of Data PMs, Software Engineers, Data Engineers, and Data Scientists who build deep business Partnership and understanding to enable insights that lead to key business decisions. Shared Services offers an exciting opportunity for a Data Scientist with a growth mindset and an experimental approach, with deep expertise in applied AI and a strong track record of delivering AI /ML Powered Solutions at scale. The candidate should have hands on experiences with building machine learning models over large-scale data. Experience with latest advancements in embedding models is preferred. This role focuses on applying data, experimentation, and AI to amplify customer signals and inform product direction, driving measurable and scalable improvements across Microsoft services.

Job Responsibility:

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.

Requirements:

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

Nice to have:

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.

Additional Information:

Job Posted:
March 13, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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