Job Description

Data Scientist II

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


Hyderabad, Telangana, India



Date posted

Oct 09, 2025

Job number

1890406

Work site

3 days / week in-office

Travel

0-25

%

Role type

Individual Contributor

Profession

Research, Applied, & Data Sciences

Discipline

Data Science

Employment type

Full-Time

Overview

We are seeking

Data Scientist II

to join our Microsoft Search, Assistant, and Intelligence (MSAI) team to improve products such as M365 Copilot and Copilot Search for enterprise users. In this role, you will leverage machine learning and data science to enhance how users interact with AI Copilot features, delivering intelligent, context-aware prompt suggestions that boost productivity for M365 Copilot and Search users. You will lead data-driven product features, develop advanced models, and collaborate with cross-functional partners to shape the future of prompt assistance.

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:

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 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
+ OR Bachelor'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 equivalent experience.
3+ years of hands-on experience in data science or a closely related role, building and deploying machine learning models to solve real-world problems. Deep understanding of machine learning algorithms and statistical techniques. You should be skilled in applying a broad range of methods - including regression, classification, clustering, and recommendation algorithms. Experience in training models for predictive analytics and optimization is highly valued. Solid programming skills in Python (or equivalent) for data analysis and development. Familiarity with machine learning frameworks and libraries is expected.

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:

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



#M365Core

Responsibilities

Machine Learning Model Development: Design and implement machine learning algorithms to enhance product. This includes developing and evaluating models and preparing large-scale datasets for training and testing. Data Analysis & Insights: Analyze usage and interaction data to drive product decisions and improvements to experience. Experimentation & Optimization: Design and execute experiments (A/B tests) to evaluate the impact of new features or model changes. Monitor model performance and user engagement metrics and iterate on solutions to optimize outcomes. You will own the end-to-end workflow of data science projects, from hypothesis formulation to deploying validated improvements. Cross-Functional Collaboration: Work closely with a multi-disciplinary team of engineers, product managers, researchers, and UX designers in the MSAI organization.
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.