Job Description

Data Scientist II

=====================


Hyderabad, Telangana, India



Date posted

Aug 01, 2025

Job number

1854623

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

Are you a real Machine Learning enthusiast
Does the magic of the data world fascinate you
Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe.

Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. As part of this team, you would get a chance to work on the core search stack powering all Copilot Search scenarios.

We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems.



As a

Data Scientist II

in the team, you will be working on challenging problems, demonstrate quantifiable end user impact through product quality improvements and share learnings with the team.

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 Qualification:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND +2 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
+ OR equivalent experience.
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. 2+ years of experience in Data Science, Machine Learning, Software Engineering. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines. Prior work/research experience in Search domain is preferable.

Preferred Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, + OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.



#M365Core

Responsibilities

Some of the specific search relevance areas that the team is focused on are:End to end ranking of search results Personalization of search results LLM applications to Search problems Experiment with State of the Art encoding/decoding architectures for Search Document Text/Passage extraction and understanding
Compliance and Privacy aware Machine Learning training pipelines at scale

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
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.