Data Scientist Ii

**Data Scientist II**:
Bangalore, Karnataka, India

Date posted

**Aug 29, 2025**
- Job number

**1864123**
- Work site

**Up to 50% work from home**
- Travel

**0-25**%**
- Role type

**Individual Contributor**
- Profession

**Research, Applied, & Data Sciences**
- Discipline

**Data Science**
- Employment type

**Full-Time**

**Overview**:
We are looking for a AI Applied Scientist 2 to join our team
This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft CES Team. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.

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.

**Qualifications**:
**Required Qualifications**
- Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND **3**+ years of experience**working with machine learning libraries to solve real world data science problems**

**Other Requirements**:

- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

**Preferred Qualifications**:

- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
- 1+ years of experience publishing in peer-reviewed venues or filing patents
- Experience presenting at conferences or industry events
- 1+ years of experience conducting research in academic or industry settings
- Experience in developing and deploying live production systems
- Experience in working with Generative AI models and ML stacks
- Experience across the product lifecycle from ideation to shipping

**Responsibilities**:
**Role Summary**

As an AI Applied Scientist 2 for CXA, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.

**AI**Mission and Impact**

We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.

We are looking for an AI Applied Scientist 2 to join our team

This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.

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.

**Responsibilities**

**Bringing the State of the Art to Products**
- Build collaborative relationships with product and business groups to deliver AI-driven impact
- Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
- Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
- Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
- Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.

**Lever