Job Description

Principal Data Scientist

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Bangalore, Karnataka, India



Date posted

May 20, 2025

Job number

1771525

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

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Overview

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?

The

Industry Solutions Engineering

(ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use.

We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers from your team and our customers' teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers' toughest challenges.

We are hiring a

Data Scientist

with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

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 AND 5+ years 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 7+ 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 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Preferred Qualifications;

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience working as part of geographically dispersed, diverse, and virtual teams Enjoy travel and are comfortable with travel up to 25% Demonstrated ability to work with customers and collaborate across company boundaries. 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.


Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

#IPS #ISEngineering

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Responsibilities

Business Understanding and Impact

Leads data-science projects or teams to align with business needs and deliver value.

Data Preparation and Understanding

Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.

Modeling and Statistical Analysis

Develops and applies ML frameworks and best practices for scalable and ethical solutions.

Evaluation

Oversees review of data analysis and modeling techniques. Ensures selected modeling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).

Industry and Research Knowledge/Opportunity Identification

Provides feedback, drives improvement, and shares knowledge as a data science expert.

Coding and Debugging

Writes and debugs code for complex projects and leads solution development.

Business Management

Leads ML and data-science partnerships and IP improvement.

Customer/Partner Orientation

Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
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.