Applied Scientist Ii

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

Date posted

**Sep 05, 2025**
- Job number

**1863902**
- Work site

**Microsoft on-site only**
- Travel

**None**
- Role type

**Individual Contributor**
- Profession

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

**Applied Sciences**
- Employment type

**Full-Time**

**Overview**:

- The Microsoft Word Applied Science team located in Bangalore, Karnataka, India develops state-of-art large scale natural language understanding and generation models using cutting edge Natural Language Processing technologies and advanced linguistic knowledge. The team has a 25-year track record of delivering innovative AI-powered writing assistance solutions to millions of users worldwide with a vision of bringing out the best writer in everyone. We have recently launched a set of groundbreaking Copilot features that help users to dramatically enhance productivity and creativity throughout their writing journey from ideation to final polish.

As a junior **Applied Scientist II** in the team, you will collaborate with experienced applied scientists, researchers, engineers, designers and product managers to build and deliver high-quality competitive products that enhance the writing experience across multiple platforms and domains. You will also conduct cutting-edge applied research leading to high product impact and publish your work in top-tier conferences and journals. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and hone your scientific skills.

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 Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- OR Doctorate in Computational Linguistics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

AppliedScience #Word

**Responsibilities**:

- Our mission is to reinvent how people read and write in Microsoft 365 and advance the state-of-the-art in language technology within Microsoft and in industry. As an applied scientist, your responsibilities include:

- Participates in collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact.
- Stays updated with the latest research and trends in NLP and related fields and explore new ideas and opportunities for innovation.
- With light guidance, own scoped problems and deliver research-backed, data‑driven, scalable solutions.
- Researches and develops an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency.
- Understands and follows ethics and privacy policies when executing research processes and/or collecting data/information.
- Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- 

Industry leading healthcare
- 

Educational resources
- 

Discounts on products and services
- 

Savings and investments
- 

Maternity and paternity leave
- 

Generous time away
- 

Giving programs
- 

Opportunities to network and connect